Job Description

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.

System Administrator - AI/ML Platform:

We are looking for a detail-oriented and technically proficient

AI/ML Cloud Platform Administrator

to manage, monitor, and secure our cloud-based platforms supporting machine learning and data science workloads. This role requires deep familiarity with both

AWS

and

Azure

cloud services, and strong experience in platform configuration, resource provisioning, access management, and operational automation. You will work closely with data scientists, MLOps engineers, and cloud security teams to ensure high availability, compliance, and performance of our AI/ML platforms.

Your responsibilities will include:

Provision, configure, and maintain ML infrastructure on

AWS (e.g., SageMaker, Bedrock, EKS, EC2, S3)

and

Azure (e.g., Azure Foundry, Azure ML, AKS, ADF, Blob Storage)

Manage cloud resources (VMs, containers, networking, storage) to support distributed ML workflows Deploy and Manage the open source orchestration ML Frameworks such as

LangChain

and

LangGraph

Implement RBAC, IAM policies, Azure AD, and Key Vault configurations to manage secure access. Monitor security events, handle vulnerabilities, and ensure data encryption and compliance (e.g., ISO, HIPAA, GDPR) Monitor and optimize performance of ML services, containers, and jobs Set up observability stacks using

Fiddler

,

CloudWatch, Azure Monitor, Grafana, Prometheus, or ELK

. Manage and troubleshoot issues related to container orchestration (Docker, Kubernetes - EKS/AKS) Use Infrastructure as Code (IaC) tools such as

Terraform, CloudFormation, or Bicep

to automate environment provisioning Collaborate with MLOps teams to automate deployment pipelines and model operationalization Implement lifecycle policies, quotas, and data backups for storage optimization

Required Qualification:

Bachelor's/Master's in Computer Science, Engineering, or related discipline 7 years in cloud administration, with 2+ years supporting AI/ML or data platforms Proven hands-on experience with both

AWS

or

Azure

Proficient in Terraform, Docker, Kubernetes (AKS/EKS), Git, Python or Bash scripting

Security Practices:

IAM, RBAC, encryption standards, VPC/network setup

Requisition ID:

611331



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!