Job code
IRC291933
Published on 24 March 2026

Machine Learning Operations (MLOps) Engineer IRC291933

Designation

Lead Software Engineer

Oblasti

Engineering

Skúsenosti

10-15 years

Lokácie

Ukraine

Skills

AI, Amazon SageMaker, AWS, Generative AI - LLMs, langchain, llamaindex, Machine Learning, NLP, Python

Formy práce

Remote

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Description

This HW/SW company is looking for an MLOps Engineer to own and scale the machine learning infrastructure that powers our internal ecosystem.

While you will be working closely with state-of-the-art Large Language Models, the core of this role is operational: managing our AWS SageMaker pipelines and building bespoke AI tools that directly accelerate our marketing, digital, and engineering departments.

This role blends heavy MLOps infrastructure experience with the ability to deploy practical, internal-facing LLM solutions.

#LI-YK1
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Requirements

  • Deep, hands-on expertise with AWS machine learning infrastructure, specifically utilizing SageMaker.
  • Strong proficiency in Python and experience deploying LLM frameworks (LangChain, LlamaIndex, or similar) into production environments.
  • Proven track record of building, shipping, and maintaining internal tools or bespoke applications for cross-functional business teams.
  • Solid understanding of LLMOps principles: post-training deployment, monitoring, NLP pipeline optimization, and managing model fine-tuning workflows.
  • Clear grasp of cost, performance, and latency trade-offs when serving and choosing LLMs.
  • Bonus: Familiarity with music production workflows and terminology to better understand the domain of the internal teams you are supporting.

    Education/Experience

  • Bachelor’s or Master’s degree in Computer Science, related technical field, or equivalent practical experience.
  • 3+ years of dedicated experience in MLOps, Machine Learning Engineering, or DevOps with a heavy focus on production AI systems.

Job responsibilities

  • ML Infrastructure & SageMaker: Own, scale, and maintain our machine learning pipelines in AWS, acting as the primary point of contact for SageMaker operations and model deployment.
  • Internal AI Tooling: Lead the development of bespoke LLM-driven applications for internal customers, such as automated workflow assistants for the digital team, marketing deployment tools, and action-item generators.
  • LLMOps & Deployment: Establish robust pipelines for model deployment, ensuring reliable, cost-effective, and low-latency serving of both large and edge-optimized LLMs.
  • Cross-Functional Enablement: Partner directly with internal business and engineering teams to identify operational bottlenecks and build tailored AI solutions that enhance their daily workflows.
  • System Optimization: Optimize natural language understanding and design robust prompt engineering strategies specifically for backend technical operations and internal data retrieval.
  • Monitoring & Maintenance: Monitor model performance in production, managing system health, usage costs, and performance trade-offs.

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.

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