Descripción de la oferta
Location: Remote from Spain (Spanish employment contract)Cualquier información adicional que necesite para este trabajo se encuentra en el texto a continuación. Asegúrese de leerla detenidamente y luego envíe su solicitud.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.RequirementsMaster 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 developingGenAI agentsusing 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 haveExperience of deploying LLM models on premiseGCP Professional Machine Learning Engineer certification (not older than a year)Experience with data science projectsIndustry knowledge in retail, manufacturing, healthcare, energy, finance or telecomResponsibilitiesExecution and guidance of technical POCs and projectsConsulting, discovery phases and suggestions for executing the MLOps projects by following best practices and latest advancements in the fieldCooperating on presales and upsales with rest of the teamParticipating in public speaking eventsWhy this positionAt Intellias, where technology takes center stage, people always come before processes. xcskxlj 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.#J-18808-Ljbffr
