MLOps ENGINEER

NEORIS; Islas Baleares; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A global consulting and technology solutions company is seeking an MLOps Engineer to join their agile team in Spain. The role involves building tools and automating processes in the machine learning lifecycle, collaborating closely with data scientists. NEORIS offers a permanent contract with competitive salaries, flexible hours, and ongoing training opportunities.

Servicios

Competitive salaries

Career plan options

Employee benefits

Ongoing training

Flexible hours

Formación

• Minimum 3 years of experience developing solutions in Python or relevant languages.
• Experience in automation and DevOps applied to ML model lifecycle.
• Knowledge of container orchestration frameworks is a plus.

Responsabilidades

• Collaborate with data scientists and ML engineers to build scalable solutions.
• Design and improve platforms that support large-scale data science initiatives.
• Implement efficient, secure, and reproducible machine learning workflows.

Conocimientos

Python

Automation

DevOps

Container Orchestration

Infrastructure as Code

Educación

University degree (BSc / MSc / PhD) in Computer Science or related field

Descripción del empleo

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Talent Acquisition Specialist IT Profiles_NEORIS

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.

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.

What do we offer?

Location : Spain. Remote!

Permanent contract with competitive salaries.

Career plan with the option to choose what best suits you : technology or management.

Employee benefits.

Ongoing training.

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 Facebook, LinkedIn, Twitter, or Instagram : @NEORIS.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Contract

Job function

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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