Data Scientist, AWS ML & Generative AI (Hybrid)

Capgemini Engineering; Porto; Hybrid; EUR 40,000 - 70,000; Full time

Benefits offered by this job

Health and life insurance

Hybrid work

Referral program with bonuses

Great office locations

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Education

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

Tools

Docker

Kubernetes

ECS

CI/CD

Job description

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.