AI Platform Engineering Lead – Neo & MLOps

Capgemini; Warszawa; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Yearly bonus

Private medical care

Life insurance

Training tracks

Hybrid work model

Home office package

Job summary

Capgemini, a leading AI-powered global technology partner, invites a talented Engineering Manager in Warsaw to lead the Neo platform delivery teams. You will guide engineers across cloud, data, product, and change squads, turning business needs into scalable AI features.

You’ll oversee design, build, and operation of Neo components, promote MLOps best practices, and ensure high-quality delivery with strong collaboration across disciplines and stakeholders.

Qualifications

• Bachelor's or master's degree in computer science/engineering or a related field.
• Proven experience managing engineering teams in AI/ML, platform, or cloud environments.
• Solid understanding of AI/ML concepts, MLOps workflows, and model operationalization.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Technical background in Python or similar languages, with experience scaling platform services.
• Strong communication and stakeholder-management skills, working with product, cloud, comms, and change teams.
• Bonus: experience with MLOps tools, distributed AI systems, open-source contributions, Kaggle, or GCP certifications.

Responsibilities

• Managing and developing the Neo engineering team to ensure high-quality delivery and strong technical standards.
• Overseeing and coordinating the design, build, and evolution of Neo’s AI platform components.
• Ensuring and improving the scalability, performance, and reliability of the platform in collaboration with cloud engineering.
• Standardizing and promoting best practices in MLOps, model deployment, and platform operations.
• Partnering closely with product, data and change teams to align technical work with business priorities and upcoming AI use cases.

Skills

Engineering management

AI/ML concepts

MLOps workflows

Model operationalization

Stakeholder management

Cloud experience

Python

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Python

Job description

Capgemini, a leading AI-powered global technology partner, invites a talented Engineering Manager in Warsaw to lead the Neo platform delivery teams. You will guide engineers across cloud, data, product, and change squads, turning business needs into scalable AI features.

You’ll oversee design, build, and operation of Neo components, promote MLOps best practices, and ensure high-quality delivery with strong collaboration across disciplines and stakeholders.