AIML Team Lead

Automat-it; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading tech firm in Madrid seeks an experienced AI / ML Team Lead to manage a team of MLOps Engineers. This role involves developing robust MLOps pipelines on AWS and creating cutting-edge Generative AI solutions. The ideal candidate has proven leadership experience, excellent customer-facing skills, and fluency in Python. This position offers a hybrid working model with opportunities for professional growth, certifications, and an international work environment.

Servicios

Professional training and certifications

International work environment

Referral program

Company events and social gatherings

Soft skills training

Formación

• Proven leadership experience managing technical teams.
• Excellent customer-facing skills to understand clients' needs.
• Ability to design cloud solutions and MLOps pipelines.
• Experience with MLOps frameworks like Kubeflow or MLflow.
• Fluency in Python and knowledge of frameworks like TensorFlow.
• Experience with Docker and related technologies.

Responsabilidades

• Manage a team of MLOps Engineers and ensure project success.
• Develop robust MLOps pipelines on AWS SageMaker.
• Create Generative AI solutions and POCs.
• Provision ML AWS resources and infrastructure.
• Deploy machine learning models in production.
• Develop CI/CD pipelines for various tech stacks.

Conocimientos

Leadership experience

MLOps frameworks (Kubeflow, MLflow)

Python fluency

Docker experience

Client-facing skills

Cloud solutions design

Familiarity with Linux

Large language models knowledge

Test automation experience

Educación

ML certification (AWS ML Specialty or similar)

Herramientas

GitHub Actions

Amazon SageMaker

Terraform

OpenSearch

Snowflake

Descripción del empleo

Automat-it is where high-growth startups turn when they need to move faster, scale smarter and make the most of the cloud. As an AWS Premier Partner and Strategic Partner we deliver hands‑on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas and help build the future of tech.

We seek an experienced AI / ML Team Lead 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 oversee project success from inception to completion.

Work location – hybrid from Madrid.

If you are interested in this opportunity please submit your CV in English.

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.
• Developing ML‑oriented CI/CD pipelines using GitHub Actions, BitBucket or similar tools.
• Deploying 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.

Benefits

• Professional training and certifications covered by the company (AWS FinOps, Kubernetes, etc.).
• International work environment.
• Referral program – enjoy cooperation with your colleagues and get a bonus.
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.).
• English classes.
• Soft skills training.

Country‑specific benefits will be discussed during the hiring process.

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.
• 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.

Remote Work: Yes

Employment Type: Full‑time

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.