MLOps ENGINEER

NEORIS; Salamanca; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

NEORIS, une entreprise de conseil et de solutions technologiques, recherche un MLOps Engineer pour rejoindre son équipe agile. Vous serez responsable de l'automatisation des processus dans le cycle de vie des produits ML, en collaborant étroitement avec des experts en science des données. Ce poste offre une flexibilité de travail à distance, un contrat permanent et des opportunités de carrière dans la technologie ou la gestion.

Servicios

Contrat permanent avec salaires compétitifs

Plan de carrière avec options technologiques ou managériales

Formation continue

Horaires flexibles

Équilibre travail-vie personnelle

Formación

• Minimum 3 ans d'expérience en développement de solutions en Python.
• Expérience en automatisation et DevOps appliquée au cycle de vie des modèles ML.
• Expérience de travail en équipes agiles.

Responsabilidades

• Collaborer avec des data scientists et ML engineers pour construire des solutions évolutives.
• Concevoir et améliorer des plateformes et outils pour des initiatives de science des données.
• Implémenter des workflows de machine learning efficaces et sécurisés.

Conocimientos

Automatisation

Collaboration

Résilience

Educación

Diplôme universitaire (BSc / MSc / PhD) en informatique ou domaine analytique

Herramientas

Airflow

Argo

Kubeflow

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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