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)
