Sr. Staff, Data Science & Applied AI
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Build MLOps and LLMOps patterns for deployment experimentation and model lifecycle management
- Create reusable architecture patterns accelerators and technical standards
- Define end to end enterprise AI solution architecture
- Define scalable compute storage networking identity and security patterns
- Design CI CD and automation for model deployment prompt version management and testing
- Design and govern AI ML and GenAI platform architecture on AWS and Snowflake
- Embed responsible AI security privacy compliance and auditability
- Ensure reliability resilience observability compliance and cost optimization
- Implement monitoring for model drift prompt drift performance and data integrity
- Move AI use cases from concept to production
- Provide architecture guidance design reviews and technical mentorship
- Stay current with foundation models agent frameworks and orchestration patterns
- Translate business workflows into scalable AI patterns
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Bedrock | CI/CD | Compliance | Cortex AI | Cortex Search | Deployment Automation | Docker | ECS | EKS | Embeddings | Generative AI | IAM | Infrastructure as Code | Kubernetes | LLM Evaluation | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Monitoring | Observability | OpenSearch | OpenSearch Vectors | Privacy | Prompt Drift | Prompt engineering | RAG | Responsible AI | Retrieval-Augmented Generation | S3 | SageMaker | Security | Semantic Search | Snowflake | Snowflake Cortex | Snowflake Cortex Search | Snowpark | Snowpipe | Streams & Tasks | VPC | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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