Generative AI Data Scientist — Hybrid & Cloud Deployments

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

Benefits offered by this job

Health and life insurance

Hybrid work

Referral program bonuses

Great office locations

Job summary

Capgemini Engineering is seeking an AI Developer with a focus on Generative AI to design, implement, and optimize AI-driven search experiences for diverse industries. The role involves building Python-based models, deploying them on cloud platforms or on-premises infrastructure, and collaborating across multi-disciplinary teams.

Minimum 2 years in AI development, strong Python skills, and familiarity with cloud services such as GCP, AWS, or Azure are essential.

Qualifications

• At least 2 years of experience in AI development, with a focus on Generative AI.
• Proficient in Python programming with a solid understanding of AI/ML frameworks.
• Experience with cloud platforms (e.g. GCP, AWS, Azure) or on-premises AI deployment.

Responsibilities

• Design and develop interactive search experiences powered by Generative AI for leading customers in different industries.
• Implement and optimize Generative AI solutions on cloud platforms or on-premises infrastructure.
• Develop, version, and execute Python code to build and refine AI models and deploy them across environments.

Skills

Python

Generative AI

AI frameworks

Cloud platforms

Embeddings

Tools

Vertex AI

SageMaker

Azure AI

BigQuery

Redshift

Snowflake

GCP/AWS/Azure

Job description

Capgemini Engineering is seeking an AI Developer with a focus on Generative AI to design, implement, and optimize AI-driven search experiences for diverse industries. The role involves building Python-based models, deploying them on cloud platforms or on-premises infrastructure, and collaborating across multi-disciplinary teams.

Minimum 2 years in AI development, strong Python skills, and familiarity with cloud services such as GCP, AWS, or Azure are essential.