ML Engineer at Marvik designing and implementing state - of - the - art AI solutions. Tackling real - world challenges with Python, LLMs, and Deep Learning.
About the role
- Manager AI/ML Ops Engineering at Smartsheet driving team performance and AI solutions in Bangalore. Leading cross-discipline teams to enhance global operational capabilities.
Responsibilities
- 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
Requirements
- 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.
Benefits
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Machine Learning Engineer Intern contributing to AI solutions for financial services. Engaging in hands - on ML projects and real production issues in a hybrid working environment.
Machine Learning Engineer in the CTO division at Open Cosmos developing ML - driven solutions for spacecraft operations. Focused on anomaly detection, forecasting, and decision - making automation.
Develop and automate Machine Learning models for Telecommunications networks during Master’s Thesis Internship. Engage with real - world operational data from Nokia's Microwave Radio technology.
Machine Learning Scientist III developing AI solutions for multi - product domain at Expedia Group. Collaborating with product managers and engineers to optimize travel experiences through machine learning.
Applied AI Engineer at Mistral AI integrating AI products for clients, managing complex technical challenges while working in a collaborative environment.
Staff Machine Learning Engineer at Adobe, leading technical efforts for scalable GenAI services across products like Photoshop and Lightroom. Collaborating closely with research and product teams for high - performance solutions.
Lead AI/ML Engineer on army enterprise team training and deploying models on cutting - edge AI technologies. Collaborate across teams to solve real - world challenges in the threat landscape.
AI Engineer building agentic systems and applying AI models for national security initiatives. Collaborating with teams to solve client challenges with cutting - edge AI solutions.
Machine Learning Scientist III at Expedia Group developing ML algorithms to enhance customer experience. Tackling complex problems in online travel for improved post - booking recommendations and service.