Senior MLOps Engineer
4 days ago
Marbella
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., • Experience of deploying LLM models on premise, • GCP Professional Machine Learning Engineer certification (not older than a year), • Experience with data science projects, • 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 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.