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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