Implement machine learning algorithms into services and pipelines to be consumed at end-user level.
Engineer large scale development systems using machine learning technologies
Develop a deep understanding of all the data points relevant to the problem to be addressed.
Establish deterministic and probabilistic linkages between data sources and develop ways to extract and summarize the sought information in the data using a wide variety of statistical, data mining and machine learning techniques.
Be a part of a highly productive and creative engineering team, working together to execute on the vision and the plan laid out for the team.
Master’s degree in Data Science, Statistics or a related field (applicants with a Bachelor’s degree and relevant work experience can also apply)
At least 4-5 years of experience working on data-intensive analytics solutions
Experience working on large distributed datasets Python & R
Experience in Python, PyTorch , Object 3.Detection and Recognition, NLP & NGP
Extensive data modeling and data architecture skills
Hands on experience in advance machine learning techniques / problems - Regression, forecasting, segmentation, etc
Solid understanding of data mining and statistics concepts and familiarity with real-world applications of these techniques
Ability to think critically, question assumptions and devise solutions to challenging technical problems.
Ability to review and understand implementations of machine learning from the team of AI Scientists and productize that code.
Productization involves refactoring and
possibly rewriting the code to operate at the production level.
Experience working in an Agile environment
Self-motivated, persevering and capable of working with minimal supervision.
Solid teamwork and communication skills.
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