Senior MLOps Engineer

Intellias; Almería; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading tech company is looking for a Senior MLOps Engineer to develop and maintain the infrastructure for managing machine learning models. You will need a master's degree in a related field and 5+ years of experience in MLOps. Strong skills in Python and cloud services are required. The position offers opportunities for professional growth in a supportive environment.

Formación

• 5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• At least B2 level of English.

Responsabilidades

• Execution and guidance of technical POCs and projects.
• Consulting on executing MLOps projects following best practices.
• Cooperating on presales and upsales.
• Participating in public speaking events.

Conocimientos

MLOps experience

Machine Learning Engineering

Computer Vision

Natural Language Processing (NLP)

Generative AI

Python programming

Rust programming

Cloud AI services (AWS / Azure / GCP)

Docker

Kubernetes

Educación

Master or higher degree in Computer Science or Engineering

Herramientas

Containerization technologies

KubeFlow

Airflow

Argo

Pytorch

Tensorflow

Terraform

FastAPI

Descripción del empleo

Senior MLOps Engineer

Location: Remote from Spain (Spanish employment contract)

We are looking for a skilled and experienced MLOps Engineer with business orientation to join our dynamic and innovative team at Intellias. As an MLOps Engineer, you will play a crucial role in developing and maintaining the infrastructure and processes required for deploying and managing machine learning models in production.

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.