Search by job, company or skills

Nisum

Machine Learning & Generative AI Engineer

new job description bg glownew job description bg glownew job description bg svg
  • Posted a month ago
  • Be among the first 10 applicants
Early Applicant

Job Description

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 operationalise agentic AI workflows with tool use, leveraging frameworks such as Lang Chain and Lang Graph.
  • 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 / LLM Ops practices, including CI/CD automation, versioning, testing, and lifecycle management.
  • Ensure security, compliance, reliability, and cost optimisation of AI services deployed at scale.

What You Know

  • 810 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 Lang Chain, Lang Graph, and Lang Smith.
  • 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

  • Bachelor's 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-needed 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 their hearts. We offer opt-in parental medical insurance in addition to our medical benefits.
  • Activities -From the Nisum Premier League's cricket tournaments to hosting a Hack-a-thon, Nisum employees can participate in a variety of team-building activities, such as skits, dance performances, and festival celebrations.
  • Free Meals - Free snacks and dinner are provided daily, in addition to subsidised lunch.

More Info

Job Type:
Industry:
Employment Type:

About Company

Job ID: 141444223