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Machine Learning Team Lead

Machine Learning Team Lead

Automat-itmadrid, España
Hace más de 30 días
Descripción del trabajo

We seek an experienced AI / ML Team Leader to join our innovative team. You will lead a group of highly skilled MLOps Engineers, develop robust MLOps pipelines, create cutting-edge Generative AI solutions, effectively engage with customers to grasp their requirements and ensure project success overseeing from inception to completion.

Work location - hybrid from Madrid

Responsibilities

  • Manage a team of highly professional MLOps Engineers focusing on their growth and execution excellence.
  • Lead and be responsible for on-time, great-quality project deliveries.
  • Develop MLOps pipelines leveraging the Amazon SageMaker platform and its features.
  • Develop Generative AI solutions and POCs, utilizing the latest architectures and technologies.
  • Deliver end-to-end ML products - model performance development, training, validation, testing, and version control.
  • Provision of ML AWS resources and infrastructure.
  • Develop ML-oriented CI / CD pipelines using GitHub Actions, BitBucket, or similar tools.
  • Deploy Machine Learning models in production.
  • Help customers tackle challenges on a scale using distributed training frameworks.
  • Using and writing Terraform libraries for infrastructure deployment.
  • Developing CI / CD pipelines for projects of various scales and tech stacks.
  • Maintaining infrastructures and environments of all types, from dev to production.
  • Security monitoring and administration.

Requirements

  • Proven leadership experience with a track record of managing and developing technical teams.
  • Excellent customer-facing skills to understand and address client needs effectively.
  • Ability to design and implement cloud solutions and to build MLOps pipelines on AWS.
  • Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
  • Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
  • Ability to understand tools used by data scientists and experience with software development and test automation.
  • Experience with one or more large language models, such as frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex.
  • Experience with Docker and Kubernetes.
  • Fluent written and verbal communication skills in English.
  • Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. - an advantage.
  • Working knowledge with Snowflake, BigQuery, and / or Databricks - an advantage.
  • GCP or Azure knowledge (DevOps / MLOps) - an advantage.
  • ML certification (AWS ML Specialty or similar) - an advantage.
  • Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.).
  • International work environment.
  • Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

    Seniority level : Mid-Senior level

    Employment type : Full-time

    Job function : Information Technology, Consulting, and Management

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    Machine Learning • madrid, España