Required Skills and Experience:
Robust proficiency in Python and experience with ML/AI libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face ecosystem).
Hands-on experience with LLMs, RAG, vector databases, and retrieval pipelines.
Practical experience deploying agentic workflows and building multi-step, tool-enabled agents.
Experience using Garak (or similar LLM red-teaming/vulnerability scanners) to identify model weaknesses and harden deployments.
Demonstrated experience implementing content filtering / moderation systems.
Solid skills working with structured and unstructured data and advanced feature engineering.
Familiarity with cloud GenAI platforms and services (Azure AI Services preferred; AWS/GCP acceptable).
Experience building APIs/microservices; containerization (Docker), orchestration (Kubernetes).
Solid understanding of model evaluation, performance profiling, inference cost optimization, and observability.
Positive knowledge of security, data governance, and privacy best practices for AI systems.
Skills:- Python, ML/AI, LLMs, RAG, Cloud, Azure AI Services
📌 Generative Ai/gen Ai Indore
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📍 Indore
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