About the role
Date- 25-Jul-26
JD
- Strong understanding of supervised and unsupervised ML algorithms
- Experience with NLP, Computer Vision, or time-series models
- Feature engineering, hyperparameter tuning, model evaluation
- Amazon SageMaker (Studio, Pipelines, Endpoints, Model Monitor)
- Experience with data pipelines on AWS
- Strong proficiency in Python
- Hands-on with scikit-learn, TensorFlow, PyTorch
- REST APIs, inference services using FastAPI / Flask
- SQL and basic data engineering skills
- Data ingestion and transformation pipelines
- S3, Athena, Glue, Redshift (exposure preferred)
- Structured and unstructured data handling