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Full Time
Hyderabad, India
2 months ago
Job Requirements JOB TITLE - Machine Learning Engineer - II Hyderabad Full-time Job Responsibilities -Design and implement machine learning, information extraction, probabilistic matching algorithms and models -Research and develop innovative, scalable and dynamic solutions to hard problems -Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head on -Use the latest advances in NLP, data science and machine leaning to enhance our products and create new experiences -Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume -Be a valued contributor in shaping the future of our products and services -You will be part of our Data Science & Algorithms team and collaborate product management and other team members -Be part of a fast pace, fun focused, agile team Job Requirement -5+ years of industry experience -PhD/MS/BTech in computer science, information systems, or similar technical field -Strong mathematics, statistics, and data analytics -Solid coding and engineering skills preferably in Machine Learning (not mandatory) -Proficient in Java, Python, and Scala -Industry experience building and productionizing end-to-end systems -Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning -Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc. Position Summary Work Experience -We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting below points to full fill this role. -Capable of building accurate machine learning models is main goal of a machine learning engineer -Linear Algebra, Applied Statistics and Probability -Building Data Models -Strong knowledge on NLP -Good understanding of multithreaded and object-oriented software development -Mathematics, Mathematics and Mathematics -Collaborate with Data Engineers to prepare data models required for machine learning models -Collaborate with other product team members to apply state-of-the art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems -Build large scale software systems and numerical computation topics -Use predictive analytics and data mining to solve complex problems and drive business decisions -Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability -Tackle situations where Problem is unknown and Solution is unknown -Solve analytical problems, and effectively communicate methodologies and results to the customers -Adept at translating business needs into technical requirements and translating data into actionable insights -Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams Mentor and promote 2 or more MLE 1 to MLE II (Promotions to approved by a panel) Benefits -Build your own ideas with a team of innovative and top caliber computer scientists, engineers and ML experts in a fun environment -Wok on solving unique and hard problem with data science and machine learning -Create world-class products, solutions and cutting edge concepts -Work in an Open Space Environment (no cube walls)