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Urgent! Data Scientist - Gen AI Engineer Job Opening In Lisboa – Now Hiring Capgemini Engineering

Data Scientist Gen AI Engineer



Job description

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, fine-tune, and deploy Generative AI models using AWS services such as Bedrock, SageMaker, and Lambda.

  • Work with LLMs, embeddings, transformers, and diffusion models for NLP, image generation, and AI automation applications.

  • Optimize prompt engineering, fine-tuning, and RLHF techniques.

  • Build scalable MLOps pipelines for training and deploying GenAI models using SageMaker, ECS, and Kubernetes.

  • Process and manage large-scale datasets for AI training using AWS Glue, Athena, and Redshift.

  • Implement vector databases (Pinecone, Weaviate, FAISS, Amazon OpenSearch) for retrieval-augmented generation (RAG) applications.

  • Design and optimize ETL pipelines for AI/ML data workflows.

  • Collaborate with software engineers, DevOps, 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 CloudWatch, MLFlow, and other observability tools.

Qualifications

  • Strong background in Data Science, Machine Learning, and Generative AI.

  • Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers).

  • Experience with AWS AI/ML services such as SageMaker, 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 fine-tuning open-source models (LLaMA, Falcon, Mistral, Stable Diffusion).

  • AWS certifications such as AWS Certified Machine Learning – Specialty.

  • Experience with real-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 work-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!

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Required Skill Profession

Ti E Tecnologia



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