AI/ML Engineer — Generative AI & AWS Expert

Capgemini Engineering; Fundão; Hybrid; EUR 42,000 - 66,000; Full time

Benefits offered by this job

Health and life insurance

Hybrid work

Career growth programs

Training and certifications

International projects

Referral bonuses

Great office locations

Job summary

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

This role emphasizes collaboration with data engineers, software engineers and business stakeholders to deliver scalable AI-driven outcomes. You should have hands-on experience with LLMs, embeddings, transformers, diffusion models and Retrieval-Augmented

Qualifications

• Degree in data science, computer science, AI or engineering.
• Experience in data science, ML, generative AI or AI engineering.
• Proficiency in Python, SQL and ML frameworks (TensorFlow, PyTorch, Transformers).
• Experience with AWS AI/ML services such as SageMaker.

Responsibilities

• Support the development, deployment and optimization of Data Science, ML and Generative AI solutions.
• Design, build and maintain AI/ML models for diverse business use cases.
• Develop and optimize data pipelines and large-scale data processing workflows.
• Implement and support MLOps: deployment, CI/CD, monitoring and lifecycle management.
• Develop Retrieval-Augmented Generation (RAG) solutions and vector databases.
• Support tuning of LLMs, transformers and diffusion models.
• Collaborate with data/softwar e engineers and stakeholders to deliver AI-driven solutions.
• Contribute to AI platform evolution, cloud optimization and model scaling.

Skills

Data Science

AI Engineering

Python

SQL

Transformers

TensorFlow

PyTorch

SageMaker

Education

Data Science / CS / AI / Engineering degree

Tools

Docker

Kubernetes

ECS

CI/CD

Job description

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

This role emphasizes collaboration with data engineers, software engineers and business stakeholders to deliver scalable AI-driven outcomes. You should have hands-on experience with LLMs, embeddings, transformers, diffusion models and Retrieval-Augmented