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Senior MLOps Engineer
Senior MLOps EngineerOpenkyber • GA, United States
Senior MLOps Engineer

Senior MLOps Engineer

Openkyber • GA, United States
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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.

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    Senior Mlops Engineer • GA, United States

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