AI / ML Team Lead

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

Develop ML-oriented CI / CD pipelines using GitHub Actions, BitBucket, or similar tools

Deploying Machine Learning models in production

Help customers tackle challenges at 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

Fluent written and verbal communication skills in English

Working knowledge of 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

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.

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.

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