Manager, AI/ML Ops Engineering (Hybrid in Bangalore)

Bangalore, Karnataka, IndiaHybridFull TimePosted 2 months ago

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Role summary

Smartsheet is seeking a Manager, AI/ML Ops Engineering for their India Global Capability Center in Bangalore. This hybrid role involves leading and mentoring a team of AI/ML Ops engineers, defining and governing scalable and reliable AI/ML operations solutions, and developing standardized MLOps workflows. The manager will focus on team development, performance, and fostering a positive culture. Key responsibilities include overseeing CI/CD/CT pipelines, ensuring deployment safety and resilience, aligning AI projects with business strategies, and adhering to compliance, security, and ethical guidelines. The role requires hands-on experience with major cloud platforms, modern software engineering practices, and AI/MLOps tools like Databricks and MLFlow.

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Manager AI/ML Ops Engineering, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

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

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

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Sample Smartsheet interview questions

1
Design a system that automatically creates a digital profile from a resume photo to speed up job applications.
system designmedium
2
Maximum Depth of an N-ary Tree Find the maximum depth of an N-ary tree. Input: root = [1,null,2,null,3,null,4] Output: 4 Explanation: The tree is essentially a straight line, requiring a traversal that reaches a maximum depth of 4 layers.
codingmedium
3
Serialize and Deserialize N-ary Tree Serialize and deserialize an N-ary tree. Input: root = [1] Output: 1 Explanation: The tree only contains a root node, resulting in a minimal serialized string representation that can be accurately rebuilt.
codingmedium
4
Maximum Subarray Sum Find the maximum subarray sum in an integer array. Input: nums = [-3,-4,-1,-2] Output: -1 Explanation: Kadane's algorithm correctly identifies that the single isolated element -1 provides the highest possible sum.
codingmedium
5
Connected Components in an Undirected Graph Determine the number of connected components in an undirected graph. Input: n = 4, edges = [[0,1],[2,3]] Output: 2 Explanation: The graph is split completely evenly into two distinct isolated components: nodes {0,1} and nodes {2,3}.
codingmedium

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