Hybrid Data Scientist - AWS ML & GenAI

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

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.