• Support Data Ecosystem project


• Hands on experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Python and delivering analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting.


• Proven experience in developing and deploying machine learning solutions using Sage Maker, Python, TensorFlow, PyTorch, Scikit-learn, or other frameworks and libraries.


• Solid understanding of machine learning concepts, techniques, and best practices such as data preprocessing, feature engineering, model selection, hyperparameter tuning, validation, testing, challenger models, and MLOps

Job Requirements :

• Possesses at least a bachelor’s degree in computer science/Information Technology or equivalent.


• Hands on experience in NLP use cases.


• 8+ Years experience