Sr. Staff, Data Science & Applied AI
INR 3584K-5500K (estimate) Senior-level Full Time
Tasks
- Build MLOps and LLMOps deployment experimentation monitoring and lifecycle management patterns
- Conduct architecture design reviews and technical mentorship
- Define enterprise AI solution architecture
- Define scalable compute storage networking and identity patterns
- Design CI CD and automation patterns for model and prompt management
- Design and govern AI ML and GenAI cloud platforms
- Design reusable architecture patterns accelerators and standards
- Embed security privacy compliance and auditability for responsible AI
- Ensure reliability resilience observability compliance and cost optimization
- Implement monitoring for drift performance and usage patterns
- Productionize AI and GenAI solutions across cloud environments
- Translate business workflows into AI solution patterns
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Amazon VPC | CI/CD | Compliance | Cortex AI | Cost Optimization | Docker | Drift monitoring | ECS | EKS | Embeddings | Generative AI | IAM | Infrastructure as Code | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Model Drift | Model Evaluation | Model drift monitoring | Observability | OpenSearch | OpenSearch Vector | Privacy | Prompt engineering | RAG | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Search | Snowflake | Snowpark | Snowpipe | Streams and Tasks | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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