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 deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
Proven experience in developing and deploying machine learning solutions using SageMaker, 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.
Hands on experience in NLP use cases.
Requirements
Exposure in Snowflake.
Exposure in CI/CD tooling
Benefits
What we can offer you
\xc2\xb7 Diverse and dynamic work environment
\xc2\xb7 Work-life balance and support for career development
\xc2\xb7 An amazing life inside the element!
\xc2\xb7 Annual Leave. Medical Leave, Insurance Coverage, Yearly appraisal