AI ML Ops Software Engineer (Bangalore Hybrid)
Smartsheet (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable and reliable AI/ML Ops platforms and pipelines for production.
- Implement and manage end-to-end AI/ML model deployment, including CI/CD pipelines, infrastructure provisioning, monitoring, retraining automation, and resource optimization.
- Collaborate with cross-functional teams to bridge model development and production, ensuring data security, version control, and compliance.
Minimum Requirements
- 4-6 years of work experience in AI/ML Ops model deployment and platform engineering.
- Hands-on experience with cloud platforms (preferably AWS), Kubernetes, Docker, Terraform, CI/CD, and monitoring tools.
- Proficiency in AI/ML frameworks and tools including Databricks Lakehouse ecosystem, MLflow, LangChain, LangGraph, Vector Search, Knowledge Graphs.
- Legally eligible to work in India on an ongoing basis.
Ideal Candidate Profile
- Experienced in building and managing large-scale enterprise SaaS AI/ML Ops platforms handling petabytes of structured and unstructured data.
- Strong technical background integrating AI/ML workflows within cloud environments and optimizing resource usage for cost and performance.
- Practitioner of modern software engineering including infrastructure as code, observability, and secure data governance in AI/ML production pipelines.