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Job Location: Noida
# Represent MCDS to various personas across data scientists to the C-suite across Microsoft and externally
# Lead proof-of-value and quantify business impact
# Seek, give and receive critical feedback including but not limited to code review
# Ensure results and retention of the team conducting regular 1x1s, team meetings, providing feedback, coaching delegation
# Collaborate with business stakeholders to ensure ML solutions successfully deliver the business outcomes
# Excellent Program Management organizational abilities
Masters degree in Computer Science, Mathematics, Statistics, Physics or related field. Focus on ML preferred. Ph.D. desirable.
12+ Years of experience in ML, Deep Learning in industry/academia
6+ Years of experience recruiting and managing Ph.D. level scientist, researchers and engineers
The candidate must demonstrate the following:
# Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras)
# Knowledge of (with deep expertise in at-least three of) Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP
# Hands-on develop ML models using the above techniques across Customer, Partner, Field Sales in varied domains
# Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up
# Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc
# Strong research record preferred demonstrated, through publications
# Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable
# Proficient in Relational Databases (SQL) and Big Data (Hive, PySpark, ..)
# Exposure to real-world MLOps
# Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud. ( Azure preferred)
The candidate must demonstrate the following:
# Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras)
# Knowledge of (with deep expertise in at-least three of) Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP
# Hands-on develop ML models using the above techniques across Customer, Partner, Field Sales in varied domains
# Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up
# Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc
# Strong research record preferred demonstrated, through publications
# Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable
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