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Tech Stack
Tools & technologiesAWSAzureCloudPythonPyTorchScikit-LearnTensorflowUnity
About the role
Key responsibilities & impact- Develop, train and optimize Machine Learning and Generative AI models (including LLMs and RAG pipelines) to solve real business problems.
- Evaluate and select the best technical approaches for each challenge, focusing on outcomes and scalability.
- Design and implement autonomous agents and AI-driven automations, ensuring quality, traceability and efficiency across end-to-end workflows.
- Ensure deployment, monitoring and maintenance of models in production with a focus on performance, stability and scalability.
- Apply modern MLOps practices: CI/CD, data/model versioning, experiment tracking and safe rollback strategies.
- Act as a technical reference within the team, supporting complex architectural decisions and raising the technical level of data and AI engineering colleagues.
- Collaborate with business, product and engineering teams to translate requirements into viable, high-impact technical solutions.
- Promote a culture of quality, security and governance in AI development, ensuring best practices for access control and metadata management.
- Contribute to the creation of documentation, standards and processes that increase the team’s analytical maturity and productivity.
Requirements
What you’ll need- Postgraduate degree preferred.
- Proven, solid experience in Artificial Intelligence and Machine Learning projects in production environments.
- Proficiency in Python and its main data and AI libraries (scikit-learn, PyTorch, TensorFlow, LangChain or similar).
- Advanced hands-on experience with Generative AI: LLMs, RAG, fine-tuning, as well as building and orchestrating agentic workflows and automations for complex processes.
- Experience with MLOps: deployment, monitoring, versioning and lifecycle management of models in production.
- Practical knowledge of the Databricks ecosystem (MLflow, Unity Catalog, Databricks Model Serving, etc.).
- Experience with cloud platforms (AWS or Azure) and distributed data environments.
- Ability to work with large volumes of data and complex pipelines; familiarity with the Medallion Architecture is a plus.
- Senior profile: high autonomy, systems thinking, excellent communication and strong technical leadership.
Benefits
Comp & perks- Meal voucher or food allowance
- Unimed health plan
- Uniodonto dental plan
- Health and wellness programs
- Wellhub/Gympass
- Pluxee Cuida (legal, financial and social support)
- Pharmacy partnership discounts
- Life insurance
- Annual profit-sharing (PLR).