ML Engineer (MLOps - Remote)

Codesearch AI; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading AI technology company is seeking an experienced MLOps Engineer to design and optimize production-grade pipelines for Generative AI. The ideal candidate will have over 4 years of experience in MLOps and proven expertise in deploying models like GPT. You will work with cutting-edge technology, bridging traditional ML techniques with LLMs. This remote position is available for those who permanently reside in Spain and offers the opportunity to make a significant impact on AI-driven projects.

Formación

• 4+ years of hands-on experience in MLOps, DevOps, or ML Engineering.
• Experience with MLflow, DVC, Prometheus, and Grafana.
• Proven expertise deploying and scaling Generative AI models.
• Proficiency with Python and ML frameworks.
• Strong cloud platform experience and managed AI/ML services.

Responsabilidades

• Design and optimize production-grade MLOps pipelines.
• Implement and fine-tune advanced models like GPT in production.
• Create solutions that integrate traditional ML techniques with LLMs.
• Build CI/CD pipelines for ML, enabling seamless testing and deployment.

Conocimientos

MLOps experience

DevOps knowledge

Python proficiency

Cloud platforms (AWS, GCP, Azure)

Docker and Kubernetes

Communication skills

Educación

Bachelor’s or Master’s in Computer Science, Engineering

Herramientas

MLflow

DVC

Prometheus

Grafana

TensorFlow

PyTorch

Hugging Face

Databricks

Descripción del empleo

What You’ll Be Doing

You’ll be designing and optimising production‑grade MLOps pipelines that bring cutting‑edge Generative AI and LLMs from experimentation to real‑world impact. Your expertise will directly influence how some of the world’s leading brands enhance their strategies.

What You’ll Build

• Production‑Ready GenAI Infrastructure: Design and deploy scalable MLOps pipelines specifically optimised for GenAI applications and large language models
• State‑of‑the‑Art Model Deployment: Implement and fine‑tune advanced models like GPT and similar architectures in production environments
• Hybrid AI Systems: Create solutions that integrate traditional ML techniques with cutting‑edge LLMs to deliver powerful insights
• Automated MLOps Workflows: Build robust CI / CD pipelines for ML, enabling seamless testing, validation, and deployment
• ‑Efficient Cloud Infrastructure: Optimize cloud resources to maximise performance while maintaining cost efficiency
• Governance and Versioning Systems: Establish best practices for model versioning, reproducibility, and responsible AI deployment
• Integrated Data Pipelines: Utilize Databricks to construct and manage sophisticated data and ML pipelines
• Monitoring Ecosystems: Implement comprehensive monitoring systems to ensure reliability and performance

What You’ll Need

• 4+ years of hands‑on experience in MLOps, DevOps, or ML Engineering roles
• Experience with MLflow, DVC, Prometheus, and Grafana for versioning and monitoring
• Proven expertise deploying and 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
• Practical experience with Docker, Kubernetes, and container orchestration
• Databricks expertise, including ML workflows and data pipeline integration
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• Fluency in written and spoken English

The Person We’re Looking For

You’re a builder at heart – someone who loves creating scalable, production‑ready systems. You balance technical excellence with pragmatic delivery. You’re excited about pushing boundaries in GenAI and LLM technologies, can communicate complex concepts effectively to diverse stakeholders, enjoy mentoring junior team members, and elevate the entire technical organization.

What Makes This Opportunity Special

You’ll be working with a modern data stack designed to process large‑scale information, automate analysis pipelines, and integrate seamlessly with AI‑driven workflows. This is your chance to make a significant impact on projects that push the boundaries of AI‑powered insights and automation in industry.

Location – this is a remote opportunity, but the successful candidate must reside permanently in Spain and not require sponsorship. Hay opciones de teletrabajo / trabajo desde casa disponibles para este puesto.