What You'll Do:
- Deploy, scale, and operate ML and Generative AI systems in cloud-based production environments (Azure preferred).
- Build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
- Implement and operationalize agentic AI workflows with tool use, leveraging frameworks such as LangChain and LangGraph.
- Develop reusable infrastructure and orchestration for GenAI systems using Model Context Protocol (MCP) and AI Development Kit (ADK).
- Design and implement model and agent serving architectures, including APIs, batch inference, and real-time workflows.
- Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production.
- Integrate AI solutions into business workflows in collaboration with data engineering, application teams, and stakeholders.
- Drive adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management.
- Ensure security, compliance, reliability, and cost optimization of AI services deployed at scale.





What You Know:
- 8 to 10 years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
- Strong proficiency in Python, with experience building production-ready AI/ML services and workflows.
- Proven experience deploying and supporting GenAI applications in real-world enterprise environments.
- Experience with orchestration frameworks including but not limited to LangChain, LangGraph, and LangSmith.
- Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems.
- Experience working with cloud AI ecosystems (Azure AI, Azure ML, Databricks preferred).
- Familiarity with containerization and deployment tools (Docker, Kubernetes, REST

Education:
- Bachelors degree in computer science, Information Systems, Engineering, Computer Applications, or related field.

Benefits:
- In addition to competitive salaries and perks packages, Ni

📌 Machine Learning/Gen Ai Engineer (Hyderabad)
🏢 Nisum
📍 Hyderabad