MLOps ENGINEER

EPAM NEORIS is a global consulting and technology solutions company. We specialize in digital transformation, offering services such as business systems implementation, technology integration, application development, data analytics, and cloud solutions. We also work in areas such as artificial intelligence, automation, and digital strategies to help organizations modernize their processes and improve efficiency.

With more than 20 years of experience in the technology sector, Neoris offers a track record of technical specialization combined with its human value.
Evolve your career at Neoris by creating impactful experiences, services, and products for major clients. Being part of the Neoris team means having the opportunity to contribute to the creation of experiences, services, and products with a significant impact.
Furthermore, our evaluation processes focus on professionals' experience and knowledge, as well as their interests and soft skills, as we are committed to inclusion and offer equal employment opportunities.

Our goal is to continue growing, and to that end, we want you to join us and help us improve every day.🙌 

 

We're looking for an MLOps Engineer. You'll join an agile, multidisciplinary, and collaborative team, working closely with data scientists and machine learning engineers. Your role will be to build tools, standardize processes, and automate key tasks in the machine learning product lifecycle. You'll also play a key role in adapting internal platforms to maximize the productivity of data science teams.

Main Responsibilities

• Collaborate with data scientists and ML engineers to understand their challenges and build scalable solutions.
• Design and improve platforms and tools that support large-scale data science initiatives.
• Implement efficient, secure, and reproducible machine learning workflows.
• Work closely with key functions such as cybersecurity and privacy to ensure secure, frictionless environments for users.
• Promote a "production-first" culture to scale exploratory research to production environments.
• Optimize the use of parallel environments such as distributed clusters, GPUs, or multicore architectures.

 

Requirements

• University degree (BSc/MSc/PhD) in Computer Science or a related quantitative/analytical field.
• Minimum 3 years of experience developing solutions in Python (or other relevant languages).
• Demonstrated experience in automation and DevOps applied to the ML model lifecycle.
• Knowledge of container orchestration frameworks such as Airflow, Argo, or Kubeflow (or motivation to learn them).
• Experience with Infrastructure as Code (IaC) tools for large-scale AI projects.
• Working experience in agile teams and with internal security frameworks.
• Creative, collaborative, and resilient profile.
• Previous experience deploying ML products in production environments is a plus.
• Fluent english (C1)

What do we offer?

Location: Barcelona (hybrid model – 2 days a week in the office)

Permanent contract with competitive salaries.
Career plan with the option to choose what suits you best: technology or management.
Employee benefits.
Continuing education.
Flexible hours; work-life balance.

Are you up for the challenge? Apply now and take your career to the next level. 🔝

We invite you to get to know us at http://www.neoris.com, Facebook, LinkedIn, Twitter, or Instagram: @NEORIS.

 

 

 

 

 

 

 

 

 

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