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.