Senior Software Engineer

Boston Scientific is seeking a highly skilled Senior Software Engineer specializing in MLOps for our Gurgaon, India location. This role requires deep expertise in building and managing production-grade Machine Learning (ML) pipelines within AWS and Azure cloud environments. You will leverage your strong foundation in software engineering, DevOps principles, and ML model lifecycle automation to ensure reliable and scalable ML operations across the organization.

Key Responsibilities:

• 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 architectures leveraging cloud-native services.
• Manage infrastructure using Infrastructure as Code (IaC) tools like 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 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 Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
• 10 years of experience in DevOps, with a minimum of 2 years specifically in MLOps.
• Proficiency with MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git.
• Experience with feature stores (e.g., Feast), model registries, and experiment tracking.
• Proficiency in DevOps & MLOps, and cloud automation tools such as CloudFormation, Terraform, or Bicep.

Requisition ID: 610750