Senior Machine Learning Operations Engineer

Smartsheet Inc; Bengaluru; On-site; INR 1,600,000 - 2,200,000; Full time

Job summary

Smartsheet Inc is looking for a Senior Machine Learning Operations Engineer to join their Bengaluru office. This role is critical in maintaining and deploying machine learning models, ensuring a scalable and reliable production environment.

You will work closely with Data Scientists and Software Engineers to automate model training and deployment, leveraging cloud technologies like AWS, GCP, and Azure. If you have extensive experience in ML solutions and a passion for innovative technologies, we invite you to apply.

Qualifications

• 5+ years of experience with ML solutions in cloud environments.
• 7+ years of programming experience in languages for AI/ML.
• Experience in developing deep learning and traditional ML models.

Responsibilities

• Architect and maintain ML production lifecycle.
• Automate deployment and retraining of ML models.
• Continuously monitor performance and make necessary adjustments.

Skills

Machine learning deployment

Python

Deep learning models

Data pipeline design

Generative AI

Education

Degree in Computer Science, Engineering, or related field

Tools

AWS

GCP

Azure

Docker

TensorFlow

PyTorch

Job description

Senior Machine Learning Operations Engineer

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.

You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office.

You Will:

Model and Pipeline Automation

• Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices.
• Build, fine‑tune, or use pre‑trained LLMs, deep learning models or traditional machine learning models.
• Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom‑built models.

Governance & Compliance

• Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.

Performance Monitoring

• Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation.
• Incorporate user feedback for iterative improvements and manage necessary model retraining cycles.

Cross‑Functional Collaboration

• Act as the "glue" between Data Scientists (who build models) and Software Engineers (who consume them).
• Partner effectively with software engineers, product managers and business functions to integrate the machine learning solutions across smartsheet.

Architecture and Infrastructure Management

• Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC).
• Provide architectural guidance and mentorship to a team consisting of ML engineers, data scientists and analytics engineers.
• Distill complex ML concepts into easy‑to‑follow technical documentation.

You Have:

• 5+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (eg. AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker etc. to create ML models and data pipelines.
• 7+ years of programming experience in languages used in AI/ML (eg python, scala etc)
• 4+ years of experience in developing deep learning and traditional ML models using common frameworks like pytorch, tensorflow, huggingface, scikit‑learn etc.
• Strong applied data science skills – ability to recognize data patterns, understand how and when to use various machine learning approaches (eg supervised/unsupervised learning, deep learning etc.), and evaluate the performance of ML algorithms.
• Proven ability to remain up‑to‑date with the latest advancements in Generative AI approaches (eg OpenAI, LangChain, Stable Diffusion APIs).
• Experience developing, documenting, and supporting REST APIs
• A degree in Computer Science, Engineering, or a related field or equivalent practical experience.

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.