MLOps/LLMOps Lead Engineer IRC277242

Description

Join us to build the connected vision intelligence layer that unifies surgical imaging, robotics, and data services across the operating room portfolio spanning endoluminal, orthopedics, and the next-gen general-surgery platform, while powering the digital ecosystem in hospitals. You’ll help transform raw surgical video and device signals into real-time insights, collaborative telepresence, and longitudinal case intelligence used before, during, and after procedures. First product releases include surgical video editing/publishing and telepresence, rolling out to select sites in the near future. Your work will directly accelerate that journey and connect robotic vision to the OR and hospital digital platform

This platform is at the heart of a next-generation surgical experience – designed to connect data, devices, and teams. The current release includes tools for surgical video management, telepresence, and case planning, already rolled out in select hospitals.

 

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Requirements

We’re looking for a MLOps Engineer to join a high-impact healthcare initiative with our client, a world-renowned leader in medical technology. You’ll be part of a team driving the cloud migration of a secure digital surgical ecosystem from Azure to AWS.

This platform is at the heart of a next-generation surgical experience, connecting data, devices, and teams to power advanced analytics and machine learning models. You will be responsible for building, automating, and maintaining the infrastructure that supports the entire machine learning lifecycle, from data ingestion to model deployment and monitoring. In this role, you’ll help build a secure, resilient, and compliant environment for critical healthcare applications that leverage AI and machine learning.

Required Skills

• MLOps Expertise: Proven experience in building and managing machine learning pipelines in a production environment.
• AWS Expertise: Extensive hands-on experience with core AWS services (S3, SageMaker, EKS, Lambda, CloudFormation, etc.).
• DevOps Practices: Deep understanding of CI/CD, automation, and infrastructure as code (IaC) using Terraform or CloudFormation.
• Containerization: Solid experience with Docker and Kubernetes for orchestrating ML workloads.
• Scripting: Proficiency in Python and other scripting languages for automation.
• Data Engineering: Familiarity with data processing workflows and tools for handling large datasets.

Nice-to-Have Skills

• Media Experience: Experience with AWS Media Services (e.g., AWS Elemental, Kinesis Video Streams) or a background in managing video data.
• Surgical/Medical Context: Prior experience with medical devices, DICOM standards, or healthcare data is a plus.
• Machine Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or scikit-learn.

Job responsibilities

This is your chance to work on a product that impacts lives, leverages modern cloud technology, and prioritizes security, performance, and reliability.

Key Responsibilities

• Design and implement MLOps pipelines for the training, testing, and deployment of machine learning models on AWS.
• Automate the end-to-end machine learning lifecycle, including data versioning, model training, and continuous integration/continuous delivery (CI/CD) for model updates.
• Manage and optimize the cloud infrastructure on AWS to ensure scalable and cost-effective model serving and inference.
• Collaborate with data scientists and machine learning engineers to streamline the transition of models from development to production.
• Establish robust monitoring and logging for model performance, data drift, and system health in a production environment.
• Ensure the security and compliance of the ML platform, adhering to healthcare industry standards.
• Provide technical leadership and guidance on MLOps best practices, tools, and workflows.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.