Data Scientist - AWS

Capgemini Engineering; Porto; Híbrido; EUR 40 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Hybrid work

Referral program with bonuses

Great office locations

Resumo da oferta

Capgemini Engineering in Porto is seeking an AI/ML Engineer to design, deploy and optimize Data Science, ML and Generative AI solutions. You will build AI models, optimize data pipelines and implement MLOps across cloud environments.

Collaborating with data engineers, software engineers and cloud architects, you will work on RAG, LLMs and multimodal AI, contributing to scalable AI platforms for diverse business use cases in a hybrid work setting.

Qualificações

• Degree in data science, computer science, AI, engineering or related field.
• Experience in data science, ML, Generative AI or AI engineering roles.
• Proficiency in Python, SQL and ML frameworks such as TensorFlow, PyTorch and Hugging Face Transformers.
• Experience with AWS AI/ML services including SageMaker, Bedrock, Lambda and Comprehend.
• Hands-on experience with LLMs, embeddings, transformers and diffusion models.
• Experience with RAG, vector databases and knowledge graphs.
• Knowledge of MLOps, Docker, Kubernetes, ECS and CI/CD for ML pipelines.
• Strong data engineering with AWS Glue, Athena, Spark or similar.
• Understanding of cloud optimization, distributed computing and model scaling.
• Knowledge of NLP, image generation and multimodal Generative AI.

Responsabilidades

• Support the development, deployment and optimization of Data Science, ML and Generative AI solutions.
• Design, build and maintain AI/ML models with performance, scalability and reliability.
• Develop and optimize data pipelines, feature engineering and large-scale data processing workflows.
• Implement and support MLOps practices, including model deployment, monitoring, CI/CD and lifecycle management.
• Develop and maintain Retrieval-Augmented Generation (RAG) solutions, vector databases and knowledge-driven AI applications.
• Support the implementation, fine-tuning and evaluation of LLMs, transformer architectures and diffusion models.
• Collaborate with data engineers, software engineers, cloud architects and stakeholders to deliver AI-driven solutions.
• Contribute to AI platform evolution, cloud optimization, model scaling and continuous improvement initiatives.

Conhecimentos

Python

SQL

TensorFlow

PyTorch

Hugging Face Transformers

LLMs

Generative AI

Retrieval-Augmented Generation

Embeddings

Transformers

Diffusion Models

MLOps

ECs

CI/CD for ML

AWS Glue

Athena

Spark

Cloud optimization

NLP

Multimodal AI

Open‑source model fine‑tuning

Ethical AI

AWS Certified ML – Specialty

Formação académica

Degree in Data Science, Computer Science, AI, Engineering or related field

Ferramentas

Docker

Kubernetes

ECS

CI/CD

Descrição da oferta de emprego

CAPGEMINI ENGINEERING

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

• Support the development, deployment and optimization of Data Science, Machine Learning and Generative AI solutions.
• Design, build and maintain AI/ML models, ensuring performance, scalability and reliability across different business use cases.
• Develop and optimize data pipelines, feature engineering processes and large-scale data processing workflows.
• Implement and support MLOps practices, including model deployment, monitoring, CI/CD pipelines and lifecycle management.
• Develop and maintain Retrieval-Augmented Generation (RAG) solutions, vector databases and knowledge-driven AI applications.
• Support the implementation, fine-tuning and evaluation of Large Language Models (LLMs), transformer architectures and diffusion models.
• Collaborate with data engineers, software engineers, cloud architects and business stakeholders to deliver AI-driven solutions.
• Contribute to AI platform evolution, cloud optimization, model scaling and continuous improvement initiatives.

YOUR PROFILE

• Degree in Data Science, Computer Science, Artificial Intelligence, Engineering or a related field.
• Experience in Data Science, Machine Learning, Generative AI or AI Engineering roles.
• Proficiency in Python, SQL and Machine Learning frameworks such as TensorFlow, PyTorch and Hugging Face Transformers.
• Experience with AWS AI/ML services, including SageMaker, Bedrock, Lambda and Comprehend.
• Hands‑on experience with Large Language Models (LLMs), embeddings, transformers and diffusion models.
• Experience with Retrieval-Augmented Generation (RAG), vector databases and knowledge graphs.
• Knowledge of MLOps, containerization technologies such as Docker, Kubernetes and ECS, and CI/CD practices for ML pipelines.
• Strong data engineering skills for processing large datasets using AWS Glue, Athena, Spark or similar technologies.
• Understanding of cloud optimization, distributed computing and model scaling principles.
• Knowledge of NLP, image generation models, multimodal AI solutions and Generative AI technologies.
• Experience with fine‑tuning open‑source models such as LLaMA, Falcon, Mistral and Stable Diffusion.
• Knowledge of ethical AI principles, bias mitigation and AI safety best practices.
• AWS Certified Machine Learning – Specialty certification is considered a plus.
• Experience with real‑time AI applications, chatbot development or autonomous agent solutions is considered a plus.

What You’ll Love About Working Here

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work life balance.
• Hybrid work.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Access valuable training and certifications in cutting edge technologies.
• Engage in exciting national and international projects.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.