Data Scientist - Gen AI Engineer Lisboa

Overview

Data Scientist - Gen AI Engineer (Lisbon/Porto) at Capgemini Engineering. Capgemini Engineering is a global engineering services leader, bringing together engineers, scientists, and architects to deliver R&D and engineering services across industries.

Responsibilities

• Develop,
  - tune, and deploy Generative AI models using AWS services such as Bedrock, Sage
  Maker, and Lambda.
• Work with LLMs, embeddings, transformers, and diffusion models for NLP, image generation, and AI automation applications.
• Optimize prompt engineering,
  - tuning, and RLHF techniques.
• Build scalable MLOps pipelines for training and deploying Gen
  AI models using Sage
  Maker, ECS, and Kubernetes.
• Process and manage
  - scale datasets for AI training using AWS Glue, Athena, and Redshift.
• Implement vector databases (Pinecone, Weaviate, FAISS, Amazon Open
  Search) for
  - augmented generation (RAG) applications.
• Design and optimize ETL pipelines for AI/ML data workflows.
• Collaborate with software engineers, Dev
  Ops, and product teams to integrate AI models into applications and APIs.
• Ensure security, compliance, and data privacy in AI/ML workflows.
• Monitor AI model performance and determine retraining needs using AWS Cloud
  Watch, MLFlow, and other observability tools.

Qualifications

• Strong background in Data Science, Machine Learning, and Generative AI.
• Proficiency in Python, SQL, and ML frameworks (Tensor
  Flow, Py
  Torch, Hugging Face Transformers).
• Experience with AWS AI/ML services such as Sage
  Maker, Bedrock, Lambda, and Comprehend.
• Hands-on experience with LLMs, embeddings, transformers, and diffusion models.
• Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.
• Experience in MLOps, containerization (Docker, Kubernetes, ECS), and CI/CD for ML pipelines.
• Understanding of cloud optimization, distributed computing, and model scaling.
• Strong data engineering skills for processing large datasets in AWS Glue, Athena, or Spark.
• Knowledge of NLP, image generation models, or multimodal AI solutions.

Nice to Have

• Experience with
  - tuning
  - source models (LLa
  MA, Falcon, Mistral, Stable Diffusion).
• AWS certifications such as AWS Certified Machine Learning – Specialty.
• Experience with
  - time AI applications, chatbot development, or autonomous agents.
• Knowledge of ethical AI, bias mitigation, and AI safety best practices.

What You'll Love About Working Here

• Join a multicultural and inclusive team environment.
• Supportive atmosphere promoting
  - life balance.
• Exposure to national and international projects.
• Hybrid work option.
• Clear career growth programs and diverse professionals to support development.
• Training and certification programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

About Capgemini

Choosing Capgemini means joining a company where you are empowered to shape your career, supported by a collaborative community, and able to reimagine what’s possible. Help leading organizations unlock the value of technology and build a more sustainable, inclusive world.

Apply now!