AI / ML Engineer
Bengaluru, BDC11A, India
INR 3000K-5500K (estimate) Senior-level Full Time
Tasks
- Architect compute storage orchestration and MLOps
- Collaborate with domain experts to translate scientific problems into solutions
- Conduct design reviews architecture governance and risk assessment
- Define technical direction for scientific AI and physics informed machine learning
- Deploy and monitor machine learning models
- Design feature engineering and model development
- Design surrogate models and optimization algorithms
- Develop reusable assets for digital twins and scientific AI workflows
- Ensure model governance security and observability
- Guide engineering teams on reference architectures and coding standards
- Implement generative AI workflows for scientific use cases
- Ingest scientific and simulation data
- Lead end to end architecture for AI ML computational science solutions
- Optimize performance and cost for AI ML pipelines
- Support pre sales demos proofs of concept and solution narratives
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Batch | Bedrock | CI/CD | CloudWatch | Data Privacy | ECS | EKS | EMR | Glue | IAM | JAX | Lambda | MLOps | Machine Learning | Model Governance | Neptune | NumPy | Observability | OpenSearch | Pandas | PyTorch | Python | Responsible AI | S3 | SQL | SageMaker | SciPy | Scikit-learn | Security | Step Functions | TensorFlow | VPC | XGBoost
Education
Roles
AI | AI/ML Engineer | Architect | Data Scientist | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | Scientist | Technical Architect
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