AI/ML Engineer - AWS SageMaker
Description
About the Role:
We are looking for an experienced AI/ML Engineer to develop and deploy machine learning solutions for a large-scale analytics platform.
Key Responsibilities:
- Own and deliver multiple AI/ML use cases.
- Design, train and deploy ML models using AWS SageMaker.
- Monitor model performance, accuracy and reliability.
- Analyze large-scale datasets and generate actionable insights.
- Support advanced analytics and production ML use cases.
Required Skills:
- 5+ years of experience in AI/ML.
- Strong hands-on experience with Python.
- Strong experience with AWS SageMaker for training, deployment and monitoring.
- Experience with Scikit-learn, TensorFlow/PyTorch, Pandas and NumPy.
- Understanding of MLOps and production model deployment.
- Experience taking ML models from development to production.
Good to Have:
- Oil & Gas domain experience.
- Demand forecasting experience.
- Supply Chain Analytics experience.
Work Location:
- Mumbai - On-site