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Join to apply for the Principal ML Ops Engineer role at EPAM Systems

We are looking for an ML Ops engineer to join our Enterprise AI Products and Technology Team. The ideal candidate will have industry-relevant experience delivering at-scale Machine Learning or Data Science projects.

You will be part of a collaborative team of multidisciplinary engineers working closely with data science teams. You will have the chance to create tools, standards, and automate tasks across the machine learning product lifecycle. A part of the role is also to enhance the capabilities of the platform team to better support data scientists. Our data science teams undertake major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led medication discovery, and software as a medical device systems.

As an ML Ops engineer, you should have a software engineering mindset focused on automation and agility, with the ability to question and improve data science workflows.

This is a hybrid role, with occasional office visits in Barcelona.

Responsibilities

• Collaborate with Data Scientists and Machine Learning Engineers to understand their challenges and build tools and platforms to support their research.
• Be part of a high-performing agile team, continuously improving ML development environments, platforms, and tooling.
• Work with governance and compliance functions, such as Cyber Security and Data Privacy, to secure infrastructure without hindering productivity.
• Adapt standard machine learning methods to leverage modern parallel environments (distributed clusters, multicore SMP, GPU).
• Promote a “production-first” mindset to scale research to production seamlessly.

Requirements

• BSc / MSc / Ph.D. in Computer Science or related quantitative / analytical field.
• At least 3 years of experience building and delivering software with Python; proficiency in other programming languages is a plus.
• Experience in software engineering and automation with DevOps principles.
• Experience developing and deploying production-grade ML products or equivalent software engineering domains.
• Knowledge of container orchestration frameworks (e.g., Airflow, Argo, Kubeflow) or willingness to learn.
• Experience deploying infrastructure for ML / Data Science at scale using Infrastructure as Code.
• Experience working in an Agile environment.
• Understanding of internal security standards and frameworks.

We offer

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification opportunities
• Language courses

EPAM is a leading digital transformation and product engineering company with over 61,700 employees in 55+ countries. Since 1993, our multidisciplinary teams have been helping clients innovate and grow. Our Spain office, established in 2018, offers opportunities to work with multinational teams, contribute to innovative projects, and grow professionally.

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