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