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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.
