AI / ML Engineer
INR 3242K-5000K (estimate) Senior-level Full Time
Tasks
- Build APIs and workflow orchestration for cloud native delivery
- Build scientific data ingestion and processing pipelines
- Contribute to design reviews technical decision logs and delivery planning
- Create reusable data pipeline and model workflow assets
- Deploy and monitor machine learning models in production
- Develop feature engineering and model development workflows
- Develop production quality Python and SQL components
- Lead design and build AI ML computational science components
- Maintain MLOps workflows for experiment tracking model registry and monitoring
- Mentor engineers and guide implementation best practices
- Translate scientific engineering and business problems into optimization and ML solutions
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS Batch | AWS Bedrock | AWS Glue | AWS Lambda | AWS Machine Learning | AWS Step Functions | Amazon CloudWatch | Amazon ECS | Amazon EKS | Amazon EMR | Amazon S3 | Amazon SageMaker | Anomaly Detection | CI/CD | Computer Vision | Docker | Experiment tracking | Feature Engineering | Generative AI | Git | IAM | JAX | MLOps | Machine Learning | Model Registry | Monitoring | NLP | NumPy | OpenSearch | Optimization | Pandas | PyTorch | Python | SQL | SciPy | Scikit-learn | Simulation analytics | Step Functions | Surrogate modeling | TensorFlow | Testing | Time Series | VPC | Workflow Orchestration | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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