Data Scientist - AWS

Capgemini; Lisboa, Fundão, Vila Nova de Gaia; Híbrido; EUR 50 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Hybrid work

Career growth programs

Training and certifications

Resumo da oferta

Capgemini Engineering is seeking a data scientist with strong ML/Gen AI background to design, deploy and optimize AI solutions across business use cases. You will develop data pipelines, build scalable models and implement MLOps practices for reliable production systems.

The role requires hands-on experience with LLMs, vector databases and AWS services, plus collaboration with engineers and stakeholders to scale AI capabilities across platforms.

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 (TensorFlow, PyTorch, Hugging Face).
• Experience with AWS AI/ML services (SageMaker, Bedrock, Lambda, Comprehend).
• Hands-on with LLMs, embeddings, transformers and diffusion models.
• Knowledge of MLOps, Docker, Kubernetes, ECS and CI/CD for ML pipelines.

Responsabilidades

• Support development, deployment and optimization of Data Science and ML/Gen AI solutions.
• Design, build and maintain AI/ML models for various business use cases.
• Develop and optimize data pipelines and large-scale processing workflows.
• Implement MLOps practices including deployment, monitoring and CI/CD for ML.
• Develop and maintain RAG solutions, vector databases and knowledge-driven AI apps.
• Support evaluation of LLMs, transformers and diffusion models.
• Collaborate with data engineers, software engineers and stakeholders to deliver AI solutions.
• Contribute to AI platform evolution and cloud optimization.

Conhecimentos

Data Science

Machine Learning

Generative AI

Python

SQL

TensorFlow

PyTorch

Hugging Face Transformers

AWS SageMaker

Bedrock

LLMs

RAG

Vector databases

Docker

Kubernetes

CI/CD for ML

SageMaker Lambda

ECS

AWS Glue

Athena

Spark

Formação académica

Degree in Data Science, Computer Science, Artificial Intelligence, Engineering or related field

Ferramentas

Docker

Kubernetes

AWS SageMaker

Bedrock

Lambda

Comprehend

ECS

AWS Glue

Athena

Spark

Descrição da oferta de emprego

# Data Scientist - AWSFundão, VNG - Cais Gaia, Lisboa - ExpoApply for this job* Permanent* Experienced Professionals* Data & AI* ID 558620-en\\_GB## CAPGEMINI ENGINEERINGAt 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 CAPGEMINICapgemini 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.