- Initial deployment on a 1-year client project.
- Based on project requirements, the assignment may be extended or you will be deployed to another client project.
Key Skills (Mandatory)
- LLMs &
- Generative AI
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems / Agentic AI
- Prompt Engineering &
- AI Evaluation
- MLOps (CI/CD, MLflow, Model Monitoring)
- Databricks &
- Vector Databases
- Python &
- AI/ML Architecture
- AI Guardrails &
- Observability
- Model Serving &
- Inference Architect and deliver enterprise-scale AI/GenAI platforms.
- Design production-grade LLM, RAG, and multi-agent AI solutions.
- Build scalable MLOps pipelines with model deployment, monitoring, and evaluation.
- Integrate Databricks, vector search, APIs, and AI orchestration frameworks.
- Drive AI solutions from PoC to production and mentor engineering teams.
Preferred Qualifications
- Experience with MLflow, Fivetran, Jira, AI Governance, and Azure/OpenAI platforms.
Application Requirement
- Apply only if you have hands-on experience in AI/ML Architecture, LLMs, RAG, Agentic AI, MLOps, Databricks, and production-grade AI systems.