Job Description & Responsibilities

Work on the deployment of machine learning and deep learning models.
Help in accelerating model inference using various compression tools like onnx, Torch script, TensorRT, OpenVINO ....etc. Develop and maintain a data streaming pipeline (both batch and real-time) for data integration and large-scale machine learning.
Deliver best practices recommendations and technical presentations around machine learning deployment including real-time modeling.
Maintain and further enhance the internal model feature store and optimize the feature engineering script.
Full life cycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment.
Responsible for the end-to-end deployment of predictive models including scoping, testing, implementation, maintenance, tracking, and optimization of predictive models.
Responsible for complete and accurate documentation of all development around machine learning engineering.

Machine Learning|Mumbai|2+ Yrs

Job Description & Responsibilities