AI/ML Engineer
Primary location: Bengaluru, India
INR 4000K-5000K (estimate) Mid-level Full Time
Tasks
- Apply data governance and access control
- Build training and inference pipelines
- Containerize services with Docker
- Deploy models and services in production
- Design AI and machine learning solutions
- Develop REST APIs and FastAPI services
- Develop Retrieval-augmented generation solutions
- Evaluate and optimize model performance
- Implement CI/CD pipelines
- Implement cloud infrastructure
- Integrate Streamlit and Flask tools
- Mentor engineers and participate in architecture reviews
- Operate MLOps model lifecycle management
- Train models at scale
- Use Infrastructure as Code with Terraform and CloudFormation
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Inclusion-focused culture
- Mentorship and training
Skills/Tech-stack
AWS | Azure | CI/CD | CloudFormation | Databricks | Delta Lake | Docker | FastAPI | Flask | GCP | Hadoop | Java | Kafka | Langchain | MLOps | MLflow | Model Quantization | MongoDB | PySpark | Python | REST | Retrieval-Augmented Generation | SQL | SparkSQL | Streamlit | Terraform | Unity Catalog | Vector Databases | Vector embeddings
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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