Artificial Intelligence/Machine Learning Engineer
11 months ago
Requirement:
Hands on experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/o..
Requirement:
- 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.
Good to have:
- Exposure in Snowflake.
- Exposure in CI/CD tooling.
EA License Number : 11C4879
Official account of Jobstore.
