Principal ML Ops Engineer

EPAM Systems; Barcelona; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A leading digital transformation company is seeking a Principal ML Ops Engineer in Barcelona. You will support data science teams by automating processes and enhancing ML lifecycle tools. Candidates should have a strong background in Python and experience in deploying machine learning products. The role offers benefits like private health insurance and professional development support.

Servicios

Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification support

Language courses

Formación

• At least 3 years of experience in Python.
• Experience deploying production-grade machine learning products.
• Knowledge of Infrastructure as Code.

Responsabilidades

• Collaborate with Data Scientists and Machine Learning Engineers.
• Improve ML development environments and tooling.
• Work with governance functions to secure systems.

Conocimientos

Python

DevOps practices

Container orchestration frameworks

Agile methodology

Educación

BSc / MSc / Ph.D. in Computer Science or related field

Descripción del empleo

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. Your role will involve creating tools, standards, and automating tasks of the machine learning product lifecycle. Additionally, you will help enhance the platforms 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.

Responsibilities

• Collaborate with Data Scientists and Machine Learning Engineers to understand challenges and develop tools / platforms to support their research.
• Participate in a high-performing agile team to improve ML development environments, platforms, and tooling.
• Work with governance and compliance functions like Cyber Security and Data Privacy to secure systems without hindering productivity.
• Adapt standard machine learning methods to leverage modern parallel environments (distributed clusters, multicore SMP, GPU).
• Promote a "production-first" mindset to seamlessly scale research to production.

Requirements

BSc / MSc / Ph.D. in Computer Science or related field.

At least 3 years of experience with Python; proficiency in other languages is a plus.

Experience in software engineering and automation using DevOps practices.

Experience deploying production-grade machine learning products or similar software engineering domains.

Knowledge of container orchestration frameworks (e.g., Airflow, Argo, Kubeflow) or willingness to learn.

Experience with Infrastructure as Code for deploying ML / Data Science infrastructure at scale.

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 support

Language courses

EPAM is a leading digital transformation and product engineering company with over 61,700 employees in 55+ countries. Since 1993, we've helped clients and communities worldwide innovate and grow. Our Madrid office, opened in 2018, hosts over 1,450 EPAMers across various locations and remote work, offering opportunities to collaborate on innovative projects and continuous learning.

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