Software Engineer-MLOps

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.

Software Engineer-MLOps

We are seeking an enthusiastic and detail-oriented MLOps Engineer to support the development, deployment, and monitoring of machine learning models in production environments. This is a hands-on role ideal for candidates looking to grow their skills at the intersection of data science, software engineering, and DevOps.

You will work closely with senior MLOps engineers, data scientists, and software developers to build scalable, reliable, and automated ML workflows across cloud platforms like AWS and Azure

Key Responsibilities Include

• Assist in building and maintaining ML pipelines for data preparation, training, testing, and deployment
• Support the automation of model lifecycle tasks including versioning, packaging, and monitoring
• Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage)
• Assist with containerizing ML models using Docker, and deploying using Kubernetes or cloud-native orchestrators
• Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation
• Participate in implementing CI/CD pipelines for ML workflows using GitHub Actions, Azure DevOps, or Jenkins
• Contribute to testing frameworks for ML models and data validation (e.g., pytest, Great Expectations).
• Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation
• Participate in diagnosing issues related to model accuracy, latency, or infrastructure bottlenecks
• Continuously improve knowledge of MLOps tools, ML frameworks, and cloud practices.
  
  

Required Qualification

• Bachelor's/Master’s in Computer Science, Engineering, or related discipline
• 7 years in Devops, with 2+ years in MLOps.
• Good Understanding of MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git.
• Proficient in Python and familiar with bash scripting
• Exposure to MLOps platforms or tools such as SageMaker Studio, Azure ML, or GCP Vertex AI.
  
  

Requisition ID: 610751

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!