Senior MLOps Engineer

Intellias; Alicante; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading tech company is looking for a skilled Senior MLOps Engineer to join their innovative team. The role focuses on managing machine learning model infrastructures, with significant emphasis on cloud services and programming skills in Python or Rust. Candidates should have 5+ years of experience in MLOps and a master's degree in a relevant field. Enjoy a flexible remote work environment while contributing to state-of-the-art projects.

Servicios

Customized benefits for well-being

Opportunities for professional growth

Formación

• 5+ years of experience in MLOps or machine learning engineering.
• Strong programming skills in Python or Rust.
• Experience in designing scalable machine learning pipelines.

Responsabilidades

• Guide technical POCs and projects.
• Consulting on MLOps projects with best practices.
• Collaborate on presales and upsales.

Conocimientos

MLOps

Machine Learning Engineering

Python

Rust

Computer Vision

NLP

Generative AI

Kubernetes

Docker

Terraform

Educación

Master's degree in Computer Science or related field

Herramientas

AWS

Azure

GCP

KubeFlow

Airflow

Argo

Pytorch

Tensorflow

FastAPI

LangChain

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.