MLOps ENGINEER

Job Description

Neoris is seeking a skilled MLOps Engineer to join its agile and collaborative team. The MLOps Engineer will work closely with data scientists and machine learning engineers to build tools, standardize processes, and automate key tasks in the machine learning product lifecycle. The engineer will 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.
• Fluent english (C1)
• Previous experience deploying ML products in production environments is a plus.

What Neoris Offers:

• 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.