Manager- Data Scientist/ AI Engineer

Roles & Responsibilities

• Formal education in Data Science, statistics or specialization in Machine Learning.
• Strong skills in 1 or more programming languages – Python,R or Java for machine learning applications.
• Clarity with Model Lifecycle Management concepts, including concepts of algorithmic risk reviews.
• Has done production scale machine learning deployments before (not limited to courses, sandbox, or proof of concepts).
• Experience with at least one Data Science and Machine Learning Frameworks like TensorFlow, Scikit-learn, etc.
• Experience with Setting up machine learning problems using Time Series, Anomaly Detection, Natural Language Processing etc.
• Evaluating performance and efficacy of Machine Learning problems.
• Ability to work on advanced machine learning concepts – neural networks, reinforcement learning etc.

Qualification

• Pursuing Masters or equivalent advanced degree from a top tier Technology school .
• Record of delivering large analytical solutions with business impact .
• Experience on R/SAS/Matlab and SQL .
• Excellent Microsoft Office skills, including a strong working knowledge of Excel
• Problem solving ability and passion for big data.
• Excellent communication and data presentation skills

Skill Sets Required

• Python, Pandas, Numpy, Matplotlib, Scikit-Learn, Tensorflow/Keras,
• Design of Algorithms, Data Structures, Machine Learning, Data Modeling, NLP, Time-Series Forecasting.
• Additional Skills: Consistent practical knowledge of Python and its libraries is a must. Good knowledge of Document Parsing modules (for PDF and Docx).
• Knowledge on web scraping using Python is a plus.
• Practical knowledge of NLP and CV techniques is preferred.