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.