Machine Learning/Gen Ai Engineer (Telangana)

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. - Robust 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 benefits packages, Nisum India offers its employees some unique and fun extras: - Continuous Learning - Year-round training sessions are offered as part of skill enhancement certifications sponsored by the company on an as need basis. We support our team to excel in their field. - Parental Medical Insurance - Nisum believes our team is the heart of our business and we want to make sure to take care of the heart of theirs. We offer opt-in parental medical insurance in addition to our medical benefits. - Activities -From the Nisum Premier League's cricket tournaments to hosted Hack-a-thon, Nisum employees can participate in a variety of team building activities such as skits, dances performance in addition to festival celebrations. - Free Meals - Free snacks and dinner is provided on a daily basis, in addition to subsidized lunch. Note: Immediate to 15 days 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. - Robust 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 benefits packages, Nisum India offers its employees some unique and fun extras: - Continuous Learning - Year-round training sessions are offered as p