Manager, AI/ML Ops Engineering

You Will:

• Focus on team members and coaching them to play to their strengths, grow and deliver peak performance
• Lead and mentor a team of AI/ML Ops engineers and operations specialists.
• Define and govern solutions for AI/ML operations, ensuring scalability, cost-efficiency, and reliability
• Develop and maintain standardized AI/MLOps workflows, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines
• Delegate and harness the aggregate strength of your team.
• Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values.
• Actively helps individuals and the overall team to set priorities and focus on delivery of commitments
• Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security
• Lead and facilitate cross-team interactions, communication, and dependencies
• Ensure all changes are fully tested before being deployed
• Ensure deployment plans are well-considered and include appropriate scalability and load tests
• Work with stakeholders to align AI projects with business strategies.
• Ensure all AI/ML Ops solutions adhere to regulatory compliance, security, and ethical guidelines
• Drive Engineering and Operational excellence initiatives
• Perform other duties as assigned
   

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Experience building teams through recruiting and retention
• Experience in Leading and Mentoring a team of ML engineers and operations specialists.
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
  • Legally eligible to work in India on an ongoing basis