Additional Locations: India-Haryana, Gurgaon

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Senior Software Engineer-MLOps

We are looking for a highly skilled Senior Software Engineer – MLOps with deep expertise in building and managing production-grade ML pipelines in AWS and Azure cloud environments. This role requires a strong foundation in software engineering, DevOps principles, and ML model lifecycle automation to enable reliable and scalable machine learning operations across the organization

Key Responsibilities include:

• Design and build robust MLOps pipelines for model training, validation, deployment, and monitoring

• Automate workflows using CI/CD tools such as GitLab Actions, Azure DevOps, Jenkins, or Argo Workflows

• Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage)

• Design secure and cost-efficient ML architecture leveraging cloud-native services

• Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation

• Implement cost optimization and performance tuning for cloud workloads

• Package ML models using Docker, and orchestrate deployments with Kubernetes on EKS/AKS

• Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation

• Integrate observability tools for model performance, drift detection, and lineage tracking (e.g., Fiddler, MLflow, Prometheus, Grafana, Azure Monitor, CloudWatch)

• Ensure model reproducibility, versioning, and compliance with audit and regulatory requirements

• Collaborate with data scientists, software engineers, DevOps, and cloud architects to operationalize AI/ML use cases

• Mentor junior MLOps engineers and evangelize MLOps best practices across teams

Required Qualification:

• Bachelor's/Master’s in Computer Science, Engineering, or related discipline

• 10 years in Devops, with 2+ years in MLOps.

• Proficient with MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git.

• Experience with feature stores (e.g., Feast), model registries, and experiment tracking.
• Proficiency in Devops & MLOps, Automation Cloud formation/Teraform/BICEP

Requisition ID: 610750

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!