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Machine Learning Team Lead

buscojobs España

Madrid

Presencial

EUR 60.000 - 90.000

Jornada completa

Hace 30+ días

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Descripción de la vacante

A leading company in the tech sector seeks an experienced AI / ML Team Leader to guide a team of MLOps Engineers. This role involves developing MLOps pipelines, creating innovative AI solutions, and ensuring successful project execution. Candidates should possess strong leadership skills and technical expertise in MLOps frameworks and cloud technologies. Join a diverse and dynamic team committed to excellence in the field of AI.

Servicios

Professional training and certifications covered by the company
International work environment

Formación

  • Proven leadership experience managing technical teams.
  • Excellent customer-facing skills.
  • Experience with MLOps frameworks and AWS.

Responsabilidades

  • Manage a team of MLOps Engineers and ensure project delivery.
  • Develop MLOps pipelines and Generative AI solutions.
  • Deploy Machine Learning models in production.

Conocimientos

Leadership
Customer-facing skills
Python
MLOps frameworks
Docker
Kubernetes
Cloud solutions design
CI/CD pipelines

Educación

ML certification (AWS ML Specialty or similar)

Herramientas

Terraform
GitHub Actions
BitBucket
OpenAI SDK
Amazon Bedrock
LangChain
LlamaIndex
Snowflake
BigQuery
Databricks

Descripción del empleo

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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