Principle MLOps Engineer IRC263267

Description

Join a high-impact team at the forefront of enterprise AI transformation. Our client – a global innovator in digital platforms – is scaling next-generation AI and GenAI capabilities to deliver intelligent, data-driven solutions across healthcare, finance, and critical infrastructure sectors.

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, which have already been rolled out in select hospitals.

This role is a key enabler of that transformation, ensuring AI/ML initiatives move beyond experimentation and deliver measurable impact in production environments. In this role, you’ll:

• Design and scale ML infrastructure to support real-time and batch use cases
• Bring structure, automation, and monitoring to complex ML workflows
• Build robust deployment frameworks for GenAI and predictive models alike
• Drive a culture of reliability, repeatability, and trust in machine learning systems

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

#LI-AR1

Requirements

• Proven experience building and maintaining production-grade MLOps pipelines in cloud environments (AWS, Azure, or GCP).
• Strong hands-on expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD for ML workflows.
• In-depth knowledge of ML lifecycle tools and platforms (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).
• Experience with infrastructure as code (e.g., Terraform, CloudFormation) and workflow orchestration tools (e.g., Airflow, Prefect).
• Solid programming skills in Python, with experience automating model training, evaluation, and deployment.
• Familiarity with data engineering best practices for real-time and batch pipelines.
• Deep understanding of versioning, monitoring, and governance of models in production.
• Strong ability to collaborate across data science, software engineering, DevOps, and product teams.
• Experience with implementing responsible AI practices and compliance requirements in AI pipelines.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

Job responsibilities

• Architect and implement scalable, reliable MLOps pipelines to support the end-to-end lifecycle of ML models.
• Automate data ingestion, feature engineering, model training, validation, and deployment workflows.
• Build and maintain tools for model versioning, drift detection, and performance monitoring.
• Partner with data scientists to productionize models while ensuring reproducibility and traceability.
• Optimize infrastructure for cost, speed, and resilience in high-scale ML workloads.
• Develop and enforce standards and best practices for ML experimentation, testing, and model governance.
• Integrate MLOps platforms with enterprise CI/CD and cloud infrastructure strategies.
• Support regulatory compliance, explainability, and auditability of deployed models.
• Contribute to the evolution of a centralized MLOps platform and reusable toolkits for multiple business units.
• Stay ahead of emerging MLOps technologies and help guide adoption across the organization.

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.