Senior Software Engineer-MLOps
Senior Software Engineer-MLOps
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Job Description
Additional Locations:India-Haryana Gurgaon
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
At Boston Scientific well give you the opportunity to harness all thats 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 well help you in advancing your skills and career. Here youll 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:
- Bachelors/Masters 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) isnt just business its personal. And if youre 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!
Required Experience:
Senior IC
Employment Type
Full Time
