Ignite innovation at the forefront of AI — shape the future of data-driven solutions!

Lisbon-based opportunity with hybrid work model (up to 3 remote days per week).

As a Junior AI Data Engineer, you will be working for our client, a dynamic player in the AI and data science industry. You will contribute to cutting-edge projects focused on model training, evaluation, and simple deployment, supporting the development of intelligent systems that transform data into actionable insights. This role offers a unique opportunity to grow your expertise through impactful AI use cases and innovative data processing.

Your main responsibilities:

• Assist in AI/ML model training, evaluation, and deployment using Python and related tools.
• Support data processing pipelines and work with SQL/NoSQL databases.
• Collaborate on the development of AI solutions utilizing frameworks like TensorFlow, PyTorch, or Transformers.
• Participate in the setup and management of cloud services such as AWS S3, SageMaker, or Bedrock.
• Engage with DevOps/MLOps tools like GitLab, Docker, and Airflow to streamline workflows.
• Contribute to experiments involving Generative AI, RAG, and reasoning patterns.
• Support data ingestion and handling via APIs, vector databases, and graph databases where applicable.
• Follow Agile methodologies to ensure iterative delivery and continuous improvement.

You're ideal for this role if you have:

• 1+ year of experience or hands-on projects related to AI/ML, data processing, or software development.
• Basic programming skills in Python; familiarity with SQL and experience with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Introductory knowledge or experience with cloud platforms such as AWS (S3, SageMaker, Bedrock).
• Understanding of DevOps/MLOps tools like Docker, GitLab, or Airflow is a plus.
• Awareness of Generative AI concepts and initial exposure to vector or graph databases.
• Good understanding of Agile methodologies.