Remote Machine Learning Jobs

Responsibilities: -Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies -Assess the effectiveness and accuracy of new data sources and data gathering techniques -Develop custom data models and algorithms to apply to data sets -Coordinate with different functional teams to implement models and monitor outcomes -Develop processes and tools to monitor and analyze model performance and data accuracy Qualifications: -Having 3-5 years of experience manipulating data sets and building statistical models -Education background : Bachelor degree, but preferable from Master degree in Statistics, Mathematics, Computer Science, or another quantitative field. PhD level is an advantage. GPA must be >3.00 -Average High School National Examination Score/nilai rata-rata Ujian Nasional must be (average) >8.00 -Young and energetic person -Strong problem solving skills with an emphasis on product development -Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets -Experience working with and creating data architectures -Deep knowledge to handle big data -Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks -Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications -A drive to learn and master new technologies and techniques -Adaptable with dynamic work environment -Understand gaming trends is a plus

Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants. Extraordinary outcomes need exceptional teams. As a company we value working together and continuously growing. About you: As a Senior Data Scientist, your mission is to bring insights to life. You will build robust, scalable, and efficient algorithms for reducing the energy footprint of buildings across the globe. You are a team-minded data scientist who will refine our tech stack, our engineering culture, mentor other engineers and impact our portfolio of mission-critical commercial buildings. Your primary responsibility is to produce robust and meaningful insights and automations for our customers, but also help scale a growing team. Your communication skills will allow you to convey information to your team members, sales, marketing, and other teams. Responsibilities: You will mentor within a team of continuously improving engineers You will enhance our agile engineering practices and pairing culture You will research and develop novel IP and algorithms and help translate those into useful product features. You will work across teams with product managers and customer teams to build deep customer empathy and prioritize work that delivers meaningful customer outcomes. You will also assist in deploying algorithms you have created to a production environment. You’ll perform all necessary technical engineering skills to help meet the team and company goals. Required Qualifications: You hold an advanced degree (BS or MS) in Computer Science, Software Engineering, Computer Engineering, Mathematics, Physics or equivalent You learn continuously and are passionate about applying what you know about data science and ML in real-world applications such as reducing energy usage in buildings across the globe. You have at least 4 years of full time industry experience and are an expert in data science You have led and mentored engineering teams You have engineered a full release cycle of a commercial product You can code in 1 or more functional languages, Python, and Javascript. You embrace paired programming, test driven development and continuous integration You listen actively and build consensus You empathize strongly with customer problems You can communicate complex concepts simply Nice to Haves: You are experienced in our Machine Learning Stack (Pandas, Tensorflow, Keras, Numpy, Scikitlearn, Python, Scython, Pytorch) You are experienced in cloud computing environments like AWS, Docker, Kubernetes, Terraform. You understand SQL and relational database architectures and tradeoffs (PostgreSQL, MySQL, MSSQL, etc.) You’ve built and deployed production level machine learning and software at scale. We invite you to include your GitHub/BitBucket/GitLab account, any blogs or websites you maintain, and any software projects you worked on that you're proud of with your submission. Applying to Verdigris is a chance to make an impact by joining a mission-driven startup. We’re aggressively innovating for the energy management industry hoping to affect climate change. Verdigrisians aim to be ego-free authorities in our fields. We take our work seriously and strive for an opportunity-filled environment supportive of curious minds. You can expect thoughtful, hardworking and funny teammates. When we are not sheltering-in-place, you can usually find someone to tour our historic NASA campus or make empanadas from scratch. We value differing perspectives and embrace candid, direct, and constant feedback. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, origin, gender, orientation, age, or status.

We are seeking an MLOps Engineer to join our growing R&D team! Reporting to the Engineering Manager, you will own our end-to-end machine learning platform and core infrastructure, from research to production ML pipelines. Successful candidates for this role are well-versed with the nuances of CI/CD/CT in the machine learning lifecycle and have a results-oriented approach to measure the improvement to their peers’ engineering workflows. Ultimately, the mission of this role is to minimize the time it takes to take a model to production and maximize the reliability of that production ML system. You Will: - Drive core components of our MLOps technical roadmap concerning high-throughput online inference, active learning for supervised approaches, and reproducible ML pipelines at scale - Design and implement reference architectures for large-scale ML systems to support both training and serving workloads - Collaborate and knowledge-share with our Core Infrastructure team to compress time-to-production for Machine Learning - Build tooling and pipelining abstractions to allow ML engineers to focus on experimentation while empowering self-service to deploy and serve their models reliably and consistently - Help ML engineers produce clean, reproducible, and highly performant machine learning through rigorous code review with a lens on software quality - Advocate for automation and monitoring at all steps of ML system construction and help to define best practices based on personal industry experience and research - Participate in sprint planning, estimations, and reviews You Have: - 3+ years of software engineering experience - Strong experience with Python - Experience with maintaining functional, production reference architectures for end-to-end Machine Learning in the cloud - Strong Linux system administration skills - Familiarity with industry standards such as MLFlow and DVC - Experience with declarative infrastructure and Kubernetes (GKE) for model serving and scalable inference - Exposure to automated testing and CI/CD in the ML context - Understanding of fundamental ML concepts - A constant desire to grow and learn - Strong cross-team communication and collaboration skills - A desire to see teammates succeed together

We are seeking a Machine Learning Engineer - NLP to join our growing R&D team! You will work on complex and challenging NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, R&D, you’ll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and work with core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery. You will: - Build innovative ML models that enhance the speed and quality of life-saving research - Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data - Continuously improve our machine learning workflow by keeping up to date with the latest PyTorch optimizations and expanding our usage of modern tools such as DVC - Own the solutions and long-term technical investments that will drive innovation at BenchSci - Work with BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology - Be empowered to own your solutions - Participate in sprint planning, estimation, and design/code reviews - Work with on-site PhD scientists that give immediate feedback on models - Work with fresh datasets that are custom curated and constantly updated - Receive one-on-one coaching and investment in your personal and professional growth You have: - 3+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems - Strong experience with Python and programming fundamentals - Extensive experience with NLP and PyTorch - Experience with data manipulation and processing using SQL or pandas - A growth mindset and a constant desire to learn - Strong cross-team communication and collaboration skills - Experience recreating and applying state-of-the-art NLP research

Our Client is a marketing technology company that is reimagining how the worlds fastest growing retail brands transform casual shoppers into lifetime customers. Through their patented retail data model, they replace manual processes with an intelligent, AI driven workflow. They are credited with doubling email revenue, and increasing customer retention for more than 400 brands, including Express, Tommy Hilfiger, The North Face, Teleflora, and Bass Pro Shops. They have been recognized as one of the Best Places to Work by Glassdoor and ranked No. 241 on the Inc. 500 List, the most prestigious ranking of the nations fastest growing private companies. They are looking for Principal Data Scientists with a strong mathematical background to work alongside their Engineering Teams to build the next generation of retail and commerce models that delight and empower marketers. The ideal candidate is one that has several years of experience researching, building, serving, and maintaining data science models at scale. They are able to work with their Product Team to translate product requirements into the correct objectives, perform literature searches to identify the right approach, design thoughtful experiments, and write production code to serve the model and maintain it. They have first hand experience with what works and what does not, and are eager to share this experience with both junior and senior members and guide them through that process. They are also able to, and excited to, help architect the data science infrastructure needed to accelerate innovation on models and facilitate serving and maintaining them. Finally, they should be curious and eager to identify and explore the myriad of other products that can be built on their unique data asset. Their culture emphasizes making good tradeoffs, working as a team, and leaving your ego at the door. Over the past six years the company has shown that Marketing Teams can create meaningful and valuable experiences for their customers using only first party data, an increasingly important proposition with the rise in concerns around online privacy and third party data. As a Principal Data Scientist, you will be joining a dedicated group of Data Scientists and Engineers at the forefront of exploring exciting ways to activate that data asset. They build powerful models that enable Marketers to make the right decisions and engage their customers with personalized content that is timely, relevant, and valuable. Their approach to building models is an academic one, starting with a literature search, a baseline, and an iterative process of training and validation to identify the most suitable model that is as simple as possible and as powerful as necessary. They employ a wide variety of models, such as Bayesian models for predicting customer lifetime value, matrix factorization to identify a customers product affinity, and reinforcement learning models to optimize content, timing, and frequency of marketing communications. Their models operate at scale and crunch through millions of data points to make decisions that have been shown to double revenue and triple reach, and are designed in a flexible manner to generalize across our set of 400plus diverse customers who span industries from apparel to automotive. To explore, build, deploy, and maintain models we leverage many tools such as BigQuery, Spark, Cloud SQL, Keras, TensorFlow, Airflow, Kubernetes, and Google Compute Engine. Finally, they are a team that values applied research and constantly exploring the frontier of what is possible, diving into fields such as topic modelling, restricted Boltzmann machines, recurrent neural networks, convolutional neural networks for image feature extraction, and differential privacy. Responsibilities Identifying appropriate models, algorithms to solve product requirements Meticulous experimentation to evaluate and compare models Writing internal and external facing documentation describing models and approaches, such as wiki pages, white papers, blog posts or journal papers. Deploying models to production and maintaining them Evangelizing the company Data Science internally and externally Identifying new opportunities to leverage our data asset Proposing and drive technical initiatives Proposing infrastructure to accelerate the pace of model exploration and improve model serving and maintenance Being a technical mentor for senior and junior team members Meeting with customers to discuss our machine learning models and roadmap Qualifications PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering Deep understanding of Statistical, Probabilistic Analysis and Linear Algebra 8 plus years of relevant industry experience, including internships Experience building, delivering and maintaining Machine Learning and AI products Experience setting ML, AI project roadmaps Strong oral and written presentation skills Experience in technic

Implements software solutions to better achieve the business value agreed on by the client. Implements best practices in software development such as testing, self documenting code and other practices necessary for delivering sustainable and working software. Be able to design software to ensure that the most suitable solutions are built Installs and configures software to suit the product’s requirements. Initiates open discussion with the team and stakeholders to get a better understanding of the product’s needs. Must be able to assess how to implement better software practices as the need arises.

The Java Developer assumes the role of programmer and consultant, which involves designing and implementing Edusuite. - Implements software solutions to better achieve the business value agreed on by the client. - Implements best practices in software development such as testing, self documenting code and other practices necessary for delivering sustainable and working software. - Be able to design software to ensure that the most suitable solutions are built - Installs and configures software to suit the product’s requirements. - Initiates open discussion with the team and stakeholders to get a better understanding of the product’s needs. - Must be able to assess how to implement better software practices as the need arises.

About you: As a Senior Data Scientist, your mission is to bring insights to life. You will build robust, scalable, and efficient algorithms for reducing the energy footprint of buildings across the globe. You are a team-minded data scientist who will refine our tech stack, our engineering culture, mentor other engineers and impact our portfolio of mission-critical commercial buildings. Your primary responsibility is to produce robust and meaningful insights and automations for our customers, but also help scale a growing team. Your communication skills will allow you to convey information to your team members, sales, marketing, and other teams. Responsibilities: - You will mentor within a team of continuously improving engineers - You will enhance our agile engineering practices and pairing culture - You will research and develop novel IP and algorithms and help translate those into useful product features. -You will work across teams with product managers and customer teams to build deep customer empathy and prioritize work that delivers meaningful customer outcomes. - You will also assist in deploying algorithms you have created to a production environment. - You’ll perform all necessary technical engineering skills to help meet the team and company goals. Required Qualifications: - You hold an advanced degree (BS or MS) in Computer Science, Software Engineering, Computer Engineering, Mathematics, Physics or equivalent - You learn continuously and are passionate about applying what you know about data science and ML in real-world applications such as reducing energy usage in buildings across the globe. - You have at least 4 years of full time industry experience and are an expert in data science - You have led and mentored engineering teams - You have engineered a full release cycle of a commercial product - You can code in 1 or more functional languages, Python, and Javascript. - You embrace paired programming, test driven development and continuous integration - You listen actively and build consensus - You empathize strongly with customer problems - You can communicate complex concepts simply Nice to Haves: - You are experienced in our Machine Learning Stack (Pandas, Tensorflow, Keras, Numpy, Scikitlearn, Python, Scython, Pytorch) - You are experienced in cloud computing environments like AWS, Docker, Kubernetes, Terraform. - You understand SQL and relational database architectures and tradeoffs (PostgreSQL, MySQL, MSSQL, etc.) - You’ve built and deployed production level machine learning and software at scale. We invite you to include your GitHub/BitBucket/GitLab account, any blogs or websites you maintain, and any software projects you worked on that you're proud of with your submission.

Unlock Better with TAIGER Everything we do at TAIGER is driven by a common belief that work as we know it can be done better. This is why at TAIGER, we develop hybrid artificial intelligence that understands language and logic, helping enterprises unlock better automation, better insights and ultimately better growth and human fulfilment. Together with our clients and partners, we are solving challenging tasks in various industries. Tasks that involve billions of dollars of man-hours and infrastructure. Tasks that are thought to be impossible to apply cognitive automation and AI. Today, some of the world's leading enterprises and government organisations use our technology for complex and high value work like digital non-client onboarding, fraud detection, customer service and engagement amongst others. Our game-changing work on emerging technologies like Ontologies and Graphs, and Natural Language Technologies is featured on Gartner's Hype Cycles in 2021. TAIGER is also named as an IDC innovator in AI in 2019, and we are proudly accredited by Singapore's Infocomm Media Development Authority (IMDA). TAIGER is looking for a Research Engineer to join our award winning team. Responsibilities ● Design, Code, Experiment and prototype range of NLP applications that includes but not limited to Text classification, Named Entity Recognition (NER), Relation Extraction, Knowledge Graph Construction, Machine Reading Comprehension Systems (MRCS) ● Build, deploy, maintain and optimize deep learning-based solutions ● Adapt existing algorithms to maximise their performance for run-time deployments ● Design and develop state-of-the-art machine learning models ● Conduct experiments to test out different solutions to measure and understand their impact ● Ideate and propose innovative solutions, deliver PoCs and test the pilots ● Research, discover and harness new ideas that can make a difference ● Write modularised and reusable codebase to ensure reuse of modules across different projects ● Collaborate with Sales, Product and PM teams to ensure the timely delivery of projects Interact with the clients to clearly understand the requirements and challenges to propose a feasible and quick solution. ● Be a thought-leader, keeping up with the academic and industry trends ● Demonstrate long-term vision, while effectively supporting short-term goals Requirements ● Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Keras. ● Strong analytic background in deep neural networks; knowledge of how to formulate and test advanced loss functions in neural network design as well as the design and test of advanced convolutional, recurrent or other neural network architectures in a task-specific manner ● Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions. ● Proficiency with Git workflow, development with best coding practices. ● Good communication and interpersonal skills for working in a multicultural work environment. ● Can lead, work independently as well as play a key role in a team. TAIGERs are different. With a multinational and multicultural team headed by talents drawn from leading global companies, diversity is our strength. TAIGERs come from all walks of life, bringing to every piece of work varied experiences and expertise. Just as every TAIGER is unique, no two days at TAIGER are the same. Through working on diverse projects across geographies, every day is a new opportunity to master our craft and impact the future of work. Here at TAIGER, we share a common question—what else can we unlock better? TAIGER does not engage any recruitment agencies for recruitment of talents into our company. All job applications should be submitted directly to TAIGER.

Unlock Better with TAIGER Everything we do at TAIGER is driven by a common belief that work as we know it can be done better. This is why at TAIGER, we develop hybrid artificial intelligence that understands language and logic, helping enterprises unlock better automation, better insights and ultimately better growth and human fulfilment. Together with our clients and partners, we are solving challenging tasks in various industries. Tasks that involve billions of dollars of man-hours and infrastructure. Tasks that are thought to be impossible to apply cognitive automation and AI. Today, some of the world's leading enterprises and government organisations use our technology for complex and high value work like digital non-client onboarding, fraud detection, customer service and engagement amongst others. Our game-changing work on emerging technologies like Ontologies and Graphs, and Natural Language Technologies is featured on Gartner's Hype Cycles in 2021. TAIGER is also named as an IDC innovator in AI in 2019, and we are proudly accredited by Singapore's Infocomm Media Development Authority (IMDA). TAIGER is looking for a Statistical R&D in NLP for Knowledge Work Automation Trainee to join our award winning team. Traineeship Title: Statistical R&D in NLP for Knowledge Work Automation Project Description: This project provides the apprentice first-hand experience to assist with devising and evolving Taiger's solutions in knowledge work automation. The apprentice will be involved in applying Natural Language Processing (NLP) and Computer Vision models for real-world applications. Take this opportunity to initiate and commercialise creative solutions in the field of NLP, Semantics, and Machine Learning Roles and Responsibilities: ● Develop prototypes and real-world applications related to Natural Language Processing and Computer Vision ● Improve the performance of existing NLP models, develop algorithms, data models and build products and solutions using various state-of-the-art algorithms ● Build and improve our automation and NLP capabilities to auto-generate data directly from structured and unstructured dataset ● Test models with the internal insights team for acceptance and deploy models for scalable processing ● Plan and execute security tests and performance tests ● Use knowledge in new techniques, business trends, technologies, and standards to create innovative, marketable products using research in fields of NLP, Semantics and Machine Learning, etc. Requirements: ● Experience in NLP / Computer Vision, Machine Learning, and related fields ● Hands-on experience of Deep Learning technologies and familiar with state-of-the-art Deep ● Learning toolkits (e.g., TensorFlow, PyTorch, Keras, etc) ● Experience in programming languages (C++, Python, Java) Good-to-Have: ● Understanding of OWL, RDF, SPARQL, Semantic Repositories ● Knowledge of NLP toolkits, like Spacy, Stanford NLP, UIMA, NLTK ● Linguistic knowledge for non-English languages, especially in Spanish, Portuguese and Asian Languages ● Familiarity in Speech Recognition and Character Recognition ● Education Qualifications Required for the Traineeship Role: ● Fresh Graduates: Bachelors, Masters, PhD If you are interested, please apply here: https://www.sginnovate.com/apprenticeship/talent TAIGERs are different. With a multinational and multicultural team headed by talents drawn from leading global companies, diversity is our strength. TAIGERs come from all walks of life, bringing to every piece of work varied experiences and expertise. Just as every TAIGER is unique, no two days at TAIGER are the same. Through working on diverse projects across geographies, every day is a new opportunity to master our craft and impact the future of work. Here at TAIGER, we share a common question—what else can we unlock better? TAIGER does not engage any recruitment agencies for recruitment of talents into our company. All job applications should be submitted directly to TAIGER.

Secret Chord Laboratories = Neuroscience + Music + Machine Listening SCL is a music technology startup company that provides music creators and their teams with neuroscience-powered, cloud-based tools that inform artistic and business decisions throughout a song's life. We are passionate about all things music, deep tech, and the brain. The company was founded by two neuroscientists and a president of a record label and artist management company. Together, Secret Chord is developing an AI music enjoyment platform, dopr, which provides never-before-seen insights for released and unreleased music. As part of their doctoral work, our neuroscientist co-founders established that certain patterns of **surprise** in music features (like harmony, melody, rhythm, etc) can predict music preference. This allows us to understand where music trends are headed, rather than just imitate what was popular yesterday. Check out SCL's recent press! ➡️https://www.notion.so/SCL-Press-4fcb674069ed4cb09251d3cb5c06a6ee ⬅️ We are looking to add an inspired and passionate deep learning engineer to our dev team. If you are organized, focused, diligent, love designing performant and elegant backend systems and want to be a part of the next wave of music analytics, read on. **Location:** Three of us are based in the Philadelphia area, but you can work remotely. **Compensation:** $40-$80 per hour **Job Description** --- We are looking for an expert in deep learning / machine learning to help us extract value from our data, augment our current models, train models, and assist in deploying models into production. This is a part-time position of 10 to 20 hours per week to start, with the possibility of growth into a full-time position with equity. - Help drive improvement of overall model performance - Design simple experiments and run them to help debug issues - Optimize data pipelines for rapid prototyping, cost efficiency and model deployment - Use SQL and Mongo databases to store and retrieve data in order to create datasets. - Stay up to date with state of the art research in the field and incorporate new advancements into SCL's algorithms *The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Knowledge of music data and music information retrieval is a plus.* 🎹 This project will include the use of deep learning algorithms to estimate expected commercial performance (total streams) of recent music using audio waveforms, hand engineered features, and metadata. These models will then be used to project future earnings and evaluate the overall quality of new, unreleased music. **Responsibilities** --- - Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world - Verifying data quality, and/or ensuring it via data cleaning - Defining data augmentation pipeline - Training models and tuning their hyperparameters - Analyzing the errors of the model and designing strategies to overcome them - Deploying models to production **PSA** --- We are deeply committed to fostering a diverse community within our company. Therefore, we are trying to recruit people of all backgrounds, ethnicities, genders, etc, to help us build something that an equally diverse set of people will use and love. Does Secret Chord Laboratories seem like the perfect opportunity for you? Apply at https://forms.gle/GTB6F3qxRAJ5sndw9

Tổng quan về công việc và trách nhiệm We are looking for a talented software engineer that has a deep understanding of Deep Learning and experience deploying models in production. You will have the role of improving Meetkai's ML capabilities across Question and Answering, NLU, Personalization and NLG. ML theoretical knowledge, while useful, is not as necessary as the ability to test and deploy models and large scale datasets. For this specific role, you will be challenged with designing and building a Question and Answering (QnA) system that is capable of having dynamic conversations to inform users on specific historical and conceptual topics. Responsibilities - Design and train Question and Answering models - Develop processes for automatic deployment of ML models upon improvements - Develop processes to train deep learning models at scale - Productionize trained models (potentially on edge) Kỹ năng và kinh nghiệm tối thiểu - 2+ years of experience with Python - 2+ years of experience with Pytorch or Tensorflow - Applicant must be based in Singapore, Hong Kong, Taiwan or Indonesia - Has worked in industry for more than 3 years - Experience with NLU/QnA models - Experience in deploying ML based products into production Ưu tiên có kỹ năng và kinh nghiệm - Experience with deploying ML models in the cloud or on edge devices - Have experience with distributed queueing technologies like Kafka - Experience with online learning algorithms and models - Experience in working with resource limited devices. - Fluency in a 2nd language: Spanish, German, French, Chinese, Indonesian, Italian Tại sao ứng viên nên làm ở đây - Competitive salary - Working remotely

Tổng quan về công việc và trách nhiệm We are looking for a talented software engineer that has a deep understanding of Deep Learning and experience deploying models in production. You will have the role of improving Meetkai's ML capabilities across Question and Answering, NLU, Personalization and NLG. ML theoretical knowledge, while useful, is not as necessary as the ability to test and deploy models and large scale datasets. For this specific role, you will be challenged with designing and building a Question and Answering (QnA) system that is capable of having dynamic conversations to inform users on specific historical and conceptual topics. Responsibilities - Design and train Question and Answering models - Develop processes for automatic deployment of ML models upon improvements - Develop processes to train deep learning models at scale - Productionize trained models (potentially on edge) Kỹ năng và kinh nghiệm tối thiểu - 3+ years of experience with Python - 3+ years of experience with Pytorch or Tensorflow - Has worked in industry for more than 3 years Ưu tiên có kỹ năng và kinh nghiệm - Experience with deploying ML models in the cloud or on edge devices - Have experience with distributed queueing technologies like Kafka - Experience with online learning algorithms and models - Experience in working with resource limited devices. - Fluency in a 2nd language: Spanish, German, French, Chinese, Indonesian, Italian Tại sao ứng viên nên làm ở đây - Competitive salary - Applicant must be based in Singapore, Hong Kong, Taiwan or Indonesia - Working remotely

We are looking for a talented software engineer that has a deep understanding of Deep Learning and experience deploying models in production. You will have the role of improving MeetKai's ML capabilities across Search, NLU, Personalization and Online Learning. ML theoretical knowledge, while useful, is not as necessary as the ability to test and deploy models and large scale datasets. Responsibilities - Design and train personalization models - Develop processes for automatic deployment of ML models upon improvements - Develop processes to train deep learning models at scale - Productionize trained models (potentially on edge) Kỹ năng và kinh nghiệm tối thiểu - 3+ years of experience with Python - 3+ years of experience with Pytorch or Tensorflow - Has worked in industry for more than 3 years - Applicant must be based in Singapore, Hong Kong, Taiwan or Indonesia Ưu tiên có kỹ năng và kinh nghiệm - Experience with deploying ML models in the cloud or on edge devices - Have experience with distributed queueing technologies like Kafka - Experience with online learning algorithms and models - Experience in working with resource limited devices. - Fluency in a 2nd language: Chinese, Indonesian, Japanese, Hindi, Spanish, German, French, Italian

About The Position SysAid Technologies Ltd., an international software company providing comprehensive IT management solutions, is recruiting a Data Scientist. The Data Scientist will help us discover valuable information in our vast amount of data that will enable smart decisions for our clients for faster solutions and increase in customer efficiency. The Data Scientist will be a critical member in connecting smart features and products into SysAid’s offering. Qualifications: 𐤟 Study and transform data science prototypes 𐤟 Design NLP applications 𐤟 Select appropriate annotated datasets for Supervised Learning methods 𐤟 Use effective text representations to transform natural language into useful features 𐤟 Selecting features, building and optimizing classifiers using machine learning techniques 𐤟 Processing, cleansing, and verifying the integrity of data used for analysis 𐤟 Working closely with product and development to implement machine learning techniques within the product using train/test and validation cycles 𐤟 Perform statistical analysis of results and refine models 𐤟 Extend ML libraries and frameworks to apply in NLP tasks 𐤟 Remain updated in the rapidly changing field of machine learning Requirements 𐤟 5+ years of professional experience as a data scientist or related roles 𐤟 Excellent understanding of machine learning techniques and algorithms, such as Decision Forests, Networks, Deep learning (DNN, CNN, LSTM-RNN) 𐤟 Deep knowledge of some of the popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, sci-kit-learn, XGBoost, H2O etc 𐤟 Knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford CoreNLP. 𐤟 Experience working in a cloud environment (AWS, Azure, GCP) 𐤟 Experience in designing and developing enterprise-scale NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing 𐤟 Great communication skills 𐤟 Experience with NoSQL databases, such as ElasticSearch, MongoDB 𐤟 Good applied statistics skills, such as distributions, statistical testing, regression, etc. 𐤟 Good scripting and programming skills – python, java 𐤟 Relevant academic degree in Engineering/Computer Science or equivalent practical experience

"Clarapath is a medical robotics company automating the laboratory. Our first product is focused on fully automating the microtomy station in pathology. Our vision is to innovate, standardize, and digitally transform anatomic pathology through higher quality lab medicine, more robust safety standards, increased lab throughput, while lowering laboratory costs and labor related delays. Clarapath was founded in 2014 as a spin-off of Dr. Partha Mitra's research on high-throughput neuroanatomy at Cold Spring Harbor Labs. In order to facilitate whole-brain digital neuroanatomy research, Dr. Mitra was processing hundreds of thousands of tissue samples using the tape-transfer method for high-quality microtomy (cutting tissue into micrometer-thin sections for further analysis). The tape-transfer method was originally developed to facilitate the transport of only frozen tissue sections to glass slides for clinical application of anatomic pathology. Historically, tape-transfer has not been used for paraffin wax tissue processing. Based on this experience, Dr. Mitra had the idea to use the tape-transfer method as a foundation to develop a fully automated microtomy system. The device, named SectionStar, takes paraffin tissue blocks as inputs and provides glass slides with sliced tissue as outputs. The device is being developed in close concert with Northwell Health and the Northwell Health Laboratory. " ": Medical device development, Solidworks, PDM, PLM, Drafting, Designing Experience level: Associate Experience required: 3 Years Education level: Bachelor’s degree Job function: Engineering Industry: Medical Devices Total position: 1 Visa : Only US citizens and Greencard holders" Anywhere in U.S "The Mechanical Designer/Drafter will be working on medical device development as part of a tight knit development team. This role will be designing and drafting parts for the instrument to industry-standards. A high degree of tolerancing, GD&T and understanding of manufacturing processes is required for this role. This person will work closely with multiple engineers to design and draft precision machined, sheet -metal, molded and 3D printed components. The ideal candidate would have work experience in being a part of an engineering team, building a medical device. We are looking for a team player who views medical device development as a competitive advantage. We are a rapidly growing business with opportunity for the right candidate to continue advancing their role and responsibilities as the company grows. Duties and Responsibilities • Work closely with design engineers to design and provide detailed engineering component drawings and assembly drawings • Utilize knowledge in precision manufacturing and measurement techniques to produce accurate and inspectable components • Create 3D models of new concepts and improve designs for manufacturing, quality, and cost. • Assist in creating and maintaining engineering change process using PDM and PLM systems • Evaluate existing designs for manufacturability • Participate in all project phases from conceptualization, proof-of-concept, presentations, and validation. • Assist team in meeting tight deadlines. • Assist in reviews of RFQ’s, supplier DFM meetings and FAI • Role may require some travel • Design in Solidworks 2020 with PDM. "

We are looking to hire more than 50 Python Developers for our different U.S.A. clients . The role will suit a Python Developer with solid inter-personal skills, excellent delivery focus and a flair for building technically robust solutions on cutting edge trading systems. The successful applicant will have excellent technical, organisational and communications skills and motivation to achieve results in a challenging environment. Location: USA Industry: IT Start Date: ASAP Post: Python Developer Python Developer Duties • Improve and maintain the code developed by the data scientists (mathematical and statistical algorithms), scale and enhance existing libraries • Drive development best practices • Own the cloud infrastructure for data scientists and key products, ensuring they have a secure and capable environment for development • Interact with colleagues and clients to identify product requirements • Research the latest data science deployment solutions and work with the wider data science community, both internally and externally, to ensure you are continually pushing boundaries Skills and Competencies Key Objectives: • Software development and maintenance to meet user requirements. • Working within the team, typically leading development in a pair or individually depending on the nature/size of individual development tasks. Most of the work is new functionality with relatively little bug fixing • Mentoring the Senior Developers to progress their skills development • Gather requirements from the business, from the Head of IT and other departments as needed, discussing these and their solutions with the team. • Continuously search for improvements in the process. Skills and Competencies • A strong, applied understanding of Python, NumPy, Pandas, Docker , SQLAlchemy, Flask, SciPy, Jinja2 etc), experience JavaScript or any other Web languages will also be highly desirable. • Strong Python knowledge • Experience in Java is a big plus • Knowledge of Kubernetes clusters • Previous work with Microservices • Excellent communication skills to work closely with Quants and BA teams • Experience in a Agile/Scrum environment • Previous experience in migration of Legacy platforms is a big plus. • Knowledge of DevOps practices, alongside an appetite to implement these within the context of AI product development. • Working on Back End data gathering and processing algorithms. • Developing and improving data modules that run on our distributed platform. • Evaluating new sources of data on our SME client base. • Analysing and debugging errors in code. • Assisting in maintaining cloud infrastructure. • Supporting the continuous development/deployment cycle. • Writing technical and non-technical documentation. • Understanding of statistics and machine learning techniques • Good communication skills, with the ability to communicate effectively with a range of audiences, both technical and non-technical • Capability of taking initiative and working independently • Proven track record of managing projects independently. Bonus Skills • Knowledge of C++ • Previous experience in statistical matching and segmentation techniques • Experience deploying machine learning models into Azure or another cloud environment • Experience in continuous deployment and/or continuous integration pipelines • Strong critical, analytics and technical reasoning skills. • Ability to produce and agree a strategy to address new challenges. • Ability to work independently. • Above all you're a team player! We are currently Hiring lot of IT candidates in U.S.A. in Job Categories of : JAVA DEVELOPERS, .NET, PYTHON DEVELOPERS,AI,   DATA SCIENCE and more. Java Developer, Python Developer,Ai,Data Science,Data Analyst,.Net, Big Data, Devops Engineer, Salesforce, DBA,Robotics,AWS IF INTERESTED PLEASE SEND RESUME TO :  Contact details . Kamesh   Ph# +1 (732) 318-8662 kamesh.mada@dreamanistechnologies.com Sr. IT Talent Acquisition Director at Dreamanis Tech. USA.

Would you like to lead a team of data scientists and machine learning experts in a leading TravelTech company in Central Europe? Would you like to gather requirements to build a new MLOps platform that will bring the application of Data Science methods to the fingertips of hundreds of data experts in the company? Our client provides innovative TravelTech solutions for customers and businesses. Their unique online search engine allows users to combine transportation from carriers that normally do not cooperate. Your Responsibilities: * Build, lead and coach a team of skilled data scientists, analysts, machine and data engineers. * Lead your team in solving tough business challenges and in delivering high quality data products. * Provide technical and functional mentorship to advance your team’s expertise. * Plan and execute the way from prototypes to minimum viable products to full fledged operational data products. * Lead cross-functional project teams to implement high impact data use cases. Use agile methods and promote an environment of constant learning, integrity, and mutual responsibility. * Determine business goals and derive analytics objectives. Translate objectives into a project plan for your team, covering data collection, data preparation, statistical analysis, modeling, and algorithm development. * Support the team in building data products by using statistics, machine learning and data analysis. * Develop your team, set goals for your team and individuals and translate them into development plans. * Identify the needs for new hires, own the hiring process. Own the team’s budget, plan, pitch and control it. Must-have Soft Skills: * 5+ years of technical expertise in data science, machine learning or data engineering. * You have a track record of building data intensive products in fast paced environments. * You have proven experience in leading technical teams towards success through active mentoring and coaching. Hard Skills: * You are highly analytical and numbers driven. * Excellent proficiency in Python and SQL. * You master big data technologies like Airflow, BigQuery and others with ease, Google Cloud Platform know how is highly welcome. * Expert knowledge in at least one of machine learning/deep learning modeling framework and solid understanding of machine learning and other data science methods. Company offers: * Quarterly bonuses * Stock options * 20+5 days vacation / year * Meal vouchers, Cafeteria program, sick days, VIP Medical Care, Multisport card * Hardware from Apple or Microsoft based on your preferences * Permanent & full time employment * Flexible working schedule * Salary €4,750 per month Location 150 km radius around Bratislava (Slovakia), incl. Brno (CZ), Vienna (Austria), Nitra (SK) Mindset: * You adjust a plan quickly once it is outdated and come up with a new one. * You are on top of your game and drive decisions. * You are used to working in small increments. * You apply a lean approach when giving your team directions, you are an advocate of quick value generation, business acumen, fast feedback cycles and hands-on leadership. Why To Join This Team? * Transforming and enhancing the business by making use of Data * It feels like a startup within a scale up company! * Fast paced & ambitious growing company... which means a lot of data to process! * Great team spirit and autonomy to deliver results the way you prefer. Great Team: * The Data Intelligence Tribe currently holds 5 teams with about 30 Data specialists... so there are lots of professionals to learn from.
 * This will at least double it within the next 12 months... so you'll have a chance to onboard new joiners.
 * Teams are led by both Tech leads and Product managers... so you get the best from both worlds.
 * Our colleagues collaborate extensively across team boundaries and tribes... which strengthens your seniority and professional growth.

Acronis leads the world in cyber protection - solving safety, accessibility, privacy, authenticity, and security (SAPAS) challenges with innovative backup, security, disaster recovery, and enterprise file sync and share solutions that run in hybrid cloud environments: on-premises, in the cloud, or at the edge. Enhanced by AI technologies and blockchain-based data authentication, Acronis protects all data, applications and systems in any environment, including physical, virtual, cloud, and mobile. With dual headquarters in Switzerland and Singapore, Acronis protects the data of more than 5 million consumers and 500,000 businesses in over 150 countries and 20 languages. ACEP DataWarehouse is a big project used as a source for product managers insights about products usage and another user's metrics. It is also a data source for CyberCube data warehouse. Data engineer in Performance engineering team will be responsible for overall data warehouse data schema design, sources management and data flows control. RESPONSIBILITIES: Internal Data Warehouse business model ownership Data schema design and ownership, including comprehensive schema documentation Investigation of current products data flows and operational databases which are subject of data semantic, lineage etc Mediation between Services team, DWH developers and BI team to quickly resolve issues or introduce changes in data model Data governance & Data quality Introducing an automated data quality control, including anomalies detection and data loss Business support of data loss incidents troubleshooting or data migration Defining requirements for systems and services analytics Data analysis Manual and automated DWH data analysis and insights search Search for hidden dependencies (correlations) of clients behaviour based on their cohorts when interacting with the product Participation in the creation of business metrics and their visualisation (dashboard) for decision making SKILLS & EXPERIENCE: 3+ years experience with Data Warehouse architecture and design, data flows design, ETL implementation Deep knowledge in SQL, experience with complex queries implementation, profiling and optimisation Python: experience with NumPy, Pandas, Scikit-learn or similar Would be a plus: Experience with Hadoop stack, Hive and Pyspark; Experience with TensorFlow (Keras) or Pytorch Experience with tools: git, Confluence, Jira, DevOps

We are a company that specializes development of machine learning and artificial intelligence products. Our team are currently looking for aspiring candidates in different counties, states, and languages for an exciting work-from-home opportunities! Do you want to be a part of something bigger than yourself? Would you like to help make business search results better for end-users? This project is for you!  The goal of this project is to tap into the collective intelligence of the public at large. Results of tasks will be used in wide variety of applications - data annotation, multimedia, sentiment analysis and search engine result evaluation.   Requirements:  • Computer OS should be Microsoft Vista, Microsoft Windows 7 and above  • 3 to 5 years of residency in the country you are located  • Windows Live ID (WLID)      Please follow the steps below on how to apply for the project:    1. Visit the Appen website using the link below:  https://connect.appen.com/qrp/public/jobs?sref=baedc03cc29ae2ce4efddaf2ef2e52a3 2. Choose Spanish (United States) as your primary language.    Make sure to add all your native languages when creating your profile in the system. Once your account has been created, click the 'All Projects' Tab then you will see the "Continue" button on the right side of the "Unlock More Projects Complete your profile", complete the required information to unlock more projects.   Don’t miss the chance to earn extra income working from the comfort of your own home. This is a great opportunity for you and your friends!  • Work from home with flexible hours  • You can work on our projects around your other jobs    A diverse, inclusive culture is vital to our mission of helping build better AI. We offer opportunities for individuals of all abilities and backgrounds. Thank you and we hope to work with you soon! 

MCAT 101 is a new platform designed to engage students in the process of their prep and encourage them to learn from each other and have fun! Students often spend hundreds and thousands of dollars during this time when these resources could be provided for free and learned from one another. Here at MCAT 101, we are trying to create an organization to provide free tutoring services and resources for students. You do not have to be interested in the MCAT at all to even help though! If you are interested in any volunteer/internship opportunities for the fall, we have a place for you. Some opportunities may be in our premed blog, running our account as a student support team, answering any science questions students may have, coding our website, or even developing our team further through business. We have a startup style culture in a great fast-paced team and are looking for passionate people that want to make an impact. Come join us! If you are interested, please send a resume and paragraph of interest at mcat101help@gmail.com