Software Engineer (Mlops - Remote)

buscojobs España; Zaragoza; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Join a globally recognized brand as an MLOps Engineer and help revolutionize communication through cutting-edge AI. You'll design and optimize production-grade MLOps pipelines, implementing advanced models like GPT in a collaborative and innovative environment. This role offers the chance to work with a modern data stack and make a significant impact in the AI industry.

Formación

• 5+ years of hands-on experience in MLOps, DevOps, or ML Engineering roles.
• Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT).
• Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services.

Responsabilidades

• Design and optimize production-grade MLOps pipelines for Generative AI.
• Implement and fine-tune advanced models like GPT in production environments.
• Build robust CI/CD pipelines for ML, enabling seamless testing and deployment.

Conocimientos

Python

MLOps

DevOps

Machine Learning

Generative AI

Cloud Platforms

Docker

Kubernetes

Databricks

Monitoring Systems

Educación

Bachelor's or Master's degree in Computer Science

Herramientas

TensorFlow

PyTorch

Hugging Face

AWS

GCP

Azure

MLflow

DVC

Prometheus

Grafana

Descripción del empleo

Help to revolutionise a fast-moving industry with cutting-edge AI:

Our client is a globally recognised brand with deep-rootedexpertise. They are heavily invested in leveraging AI to combine theirdomain expertise with SOTA techniques, solidifying their position as aleader in the field. You'll join a global team with a distributed setof skills including Research, Applied AI and Engineering.

They are seeking MLOps Engineers to help architect the future ofcommunication through AI. This isn't just another engineering role –it's an opportunity to pioneer systems that transform how companiesconnect with their customers

What You’ll Be Doing

You'll be designing and optimising production-grade MLOps pipelinesthat bring cutting-edge Generative AI and LLMs from experimentation toreal-world impact. Your expertise will directly influence how some ofthe world's leading brands enhance their strategies.

WhatYou'll Build

• Production-Ready GenAI Infrastructure :Design and deploy scalable MLOps pipelines specifically optimized forGenAI applications and large language models
• State-of-the-Art Model Deployment : Implement and fine-tune advancedmodels like GPT and similar architectures in production environments
• Hybrid AI Systems : Create solutions that integratetraditional ML techniques with cutting-edge LLMs to deliver powerfulinsights
• Automated MLOps Workflows : Build robust CI/CDpipelines for ML, enabling seamless testing, validation, anddeployment
• Cost-Efficient Cloud Infrastructure : Optimizecloud resources to maximize performance while maintaining costefficiency
• Governance and Versioning Systems : Establishbest practices for model versioning, reproducibility, and responsibleAI deployment
• Integrated Data Pipelines : UtilizeDatabricks to construct and manage sophisticated data and ML pipelines
• Monitoring Ecosystems : Implement comprehensive monitoringsystems to ensure reliability and performance

WhatYou’ll Need

• 5+ years of hands-on experience in MLOps,DevOps, or ML Engineering roles
• Proven expertise deployingand scaling Generative AI models (GPT, Stable Diffusion, BERT)
• Proficiency with Python and ML frameworks (TensorFlow,PyTorch, Hugging Face)
• Strong cloud platform experience(AWS, GCP, Azure) and managed AI/ML services
• Practicalexperience with Docker, Kubernetes, and container orchestration
• Databricks expertise, including ML workflows and datapipeline integration
• Familiarity with MLflow, DVC,Prometheus, and Grafana for versioning and monitoring
• Bachelor's or Master's degree in Computer Science, Engineering, orrelated field (or equivalent experience)
• Fluency in writtenand spoken English

The Person We're Looking For

• You're a builder at heart – someone who loves creatingscalable, production-ready systems
• You balance technicalexcellence with pragmatic delivery
• You're excited aboutpushing boundaries in GenAI and LLM technologies
• You cancommunicate complex concepts effectively to diverse stakeholders
• You enjoy mentoring junior team members and elevating theentire technical organization

What Makes ThisOpportunity Special

You'll be working with a modern datastack designed to process large-scale information, automate analysispipelines, and integrate seamlessly with AI-driven workflows. This isyour chance to make a significant impact on projects that push theboundaries of AI-powered insights and automation in industry.