Microsoft

Principal ML Scientist

rpa+ai+ml

Job Description

Responsibilities

You will work with teams of talented ML scientists and attract best scientists in ML.
# 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

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



Qualifications

Required Qualification :

  • 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
  • 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.

Good to have :

# Proficient in Relational Databases (SQL) and Big Data Technologies (Hive, PySpark)
# Exposure to real-world MLOps
# Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud.
Azure preferred

#Prior experience creating intellectual property through patents


Key Skills


Computer science; Cloud computing; Intellectual property; Machine learning; System design; Adobe; Forecasting; Downstream; SQL; Python

About Company


At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world. We do business in 170 countries and are made up of 144,000 passionate employees dedicated to fulfilling our mission of helping you and your organization achieve more.

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