Data scientist team lead

Noesis is looking for the following profile:

Main Tasks and Responsibilities:

• Participate in the design and development of Generative AI solutions, including models with transformers, embeddings, and LLM-based pipelines.
• Build and optimize traditional Machine Learning models for different use cases (classification, regression, clustering, etc.).
• Explore, prepare, and transform data, applying best practices in feature engineering to improve model performance.
• Contribute to the automation and reproducibility of data science pipelines with MLOps tools, ensuring continuous monitoring and maintenance in production.
• Clearly communicate analytical results, focusing on applicability and business impact.
• Stay updated with the latest trends and tools in the AI, ML, and cloud ecosystem.
• Manage a growing team, being a reference in terms of technical and behavioral aspects.
• Participate in pre-sales actions and proposal preparation.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Data Science, or similar fields.
• Over 5 years of experience as a Data Scientist.
• Experience managing teams in this field.
• Proven experience in developing Generative AI solutions, including use of transformers, embeddings, and knowledge of prompt engineering.
• Strong command of traditional Machine Learning techniques, including supervised and unsupervised learning.
• Fluency in Python and libraries like numpy, pandas, scikit-learn, matplotlib, seaborn.
• Experience with PySpark and handling large volumes of data.
• Practical knowledge of MLOps: model versioning, experiment tracking (e.g., MLflow), deployment, and monitoring.
• Experience in cloud environments, namely:
• Azure (e.g., Azure Machine Learning, Data Factory).
• GCP (e.g., Vertex AI, BigQuery).
• AWS (e.g., SageMaker, S3).

We value:

• Experience in team management in this area.
• Experience with open-source LLM models (e.g., LLaMA, Mistral, Falcon).
• Knowledge of frameworks like LangChain, LangSmith or LlamaIndex.
• Relevant certifications in cloud (e.g., Microsoft Azure AI Engineer Associate, Google Cloud Professional Data Engineer, AWS Certified Machine Learning – Specialty).
• Ability to work independently and contribute to defining best practices within the team.
• Sensitivity to ethical issues, algorithmic bias, and data privacy.

Work regime: hybrid 2x per week in the Lisbon office.

If you meet these requirements and would like to join an innovative organization that continuously invests in the training of its talents, send us your application.

Join us. Let’s innovate together!

All our recruitment and selection processes are based on equal opportunities, valuing each person's competence and potential and ensuring that no candidate is discriminated against based on gender, ethnicity, sexual orientation, age, religion, or physical condition.

Announcement created under Law No. 4/2019 of January 10.