Senior MLOps Engineer

Intellias; Madrid; A distancia; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A leading technology company is seeking a Senior MLOps Engineer to manage scalable machine learning pipelines and work with cutting-edge AI technologies. This remote position based in Spain requires extensive experience in MLOps, strong programming skills, and an excellent command of English. The successful candidate will guide technical projects, consult on best practices, and participate in speaking events.

Formación

• At least 5 years of professional experience in MLOps or a similar role.
• Strong programming skills in Python or Rust.
• Experience designing and implementing scalable machine learning pipelines.

Responsabilidades

• Guide technical POCs and projects.
• Consult and suggest best practices for MLOps projects.
• Cooperate on presales and upsales.
• Participate in public speaking events.

Conocimientos

MLOps

Machine learning engineering

Computer Vision

Natural Language Processing (NLP)

Generative AI

Python

Rust

Cloud AI services (AWS/Azure/GCP)

Data-oriented workflow orchestration (KubeFlow, Airflow, Argo)

Docker

Kubernetes

REST API development (FastAPI)

LangChain

Terraform

English (B2)

Educación

Master's degree in Computer Science, Engineering or related field

Descripción del empleo

Senior MLOps Engineer

Location : Remote from Spain (Spanish employment contract)

Requirements

• Master or higher degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
• Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Strong programming skills in languages such as Python or Rust.
• Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
• Experience with cloud AI services (AWS / Azure / GCP).
• Experience managing and deploying model registry and feature store technologies.
• Experience with one or more data‑oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
• Experience working with containerization technologies such as Docker and Kubernetes.
• Experience putting Deep Learning models into production with frameworks such as Pytorch or Tensorflow.
• Experience developing REST APIs using frameworks such as FastAPI or similar.
• Experience developing GenAI agents using libraries such as LangChain or similar.
• Experience in evaluating LLM agents, LLM observability, and agent memory management.
• Experience with infrastructure‑as‑code (IaC) tools such as Terraform.
• At least B2 level of English.

Nice to have

• Experience of deploying LLM models on premise.
• GCP Professional Machine Learning Engineer certification (not older than a year).
• Experience with data science projects.
• Industry knowledge in retail, manufacturing, healthcare, energy, finance or telecom.

Responsibilities

• Execution and guidance of technical POCs and projects.
• Consulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the field.
• Cooperating on presales and upsales with rest of the team.
• Participating in public speaking events.

Why this position

At Intellias, where technology takes center stage people always come before processes. We're dedicated to cultivating a tech‑savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well‑being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.