Microsoft Data & Applied Scientist II 

India, Telangana, Hyderabad 

575342992

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• 2+ years of hands-on experience with ML/NLP frameworks like PyTorch, Tensorflow, ONNX and HuggingFace.
• Experience with data mining and analysis using Big Data platforms like Spark, MapReduce, Hadoop etc.
• Experience with software design and development.

Preferred Qualifications:

• Research and/or development experience with machine learning, NLP and data mining.
• Experience in architecting, developing, and delivering advanced NLP projects.
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.
• Proven track record on shipping products/services with high quality.

Your responsibilities would include:

• Developing novel machine learning and data mining algorithms.
• Designing and developing solutions that respond in real time.
• Build data quality checks and re-usable modules for the training.
• Host ML models with production-ready code and integrating them with production pipelines.
• Designing and executing offline/online experiments.Advancing the state of the art of NLP technologies for real world scenarios.
• Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.
• Evaluating product impact via controlled statistical experiments and iterating on technique to deliver maximum business impact.