AI Solutions Lead — End-to-End Production Systems

ML6; Gent; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Hybrid working setup

Collaborative culture

Competitive salary transparency

Résumé du poste

ML6 in Gent seeks a Tech Lead in AI/ML to design and deliver production-grade AI solutions in collaboration with client projects. You will own end-to-end delivery from data to deployment, lead engineers, and translate business challenges into robust technical architectures.

Join a hybrid team with strong emphasis on autonomy, growth, and client impact; expect a role blending hands-on coding with architectural leadership, MLOps, and cross-functional collaboration across AWS/GCP/Azure.

Qualifications

• 4+ years of working experience as a software, ML or AI engineer.
• Proven track record delivering end-to-end production-ready AI solutions.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Experience leading projects or small technical teams.
• Strong communication skills in English.
• Familiarity with MLOps principles and scalable systems.

Responsabilités

• Design and build end-to-end AI solutions.
• Take systems from idea to production deployment.
• Make architecture decisions and ensure scalability.
• Lead teams of engineers.
• Translate business challenges into technical solutions.
• Work with Python, ML frameworks, GenAI, and cloud (AWS/GCP/Azure).
• Build scalable systems using MLOps and CI/CD.
• Lend your technical expertise to client conversations to start new opportunities.

Connaissances

Software engineering

ML/AI engineering

End-to-end deployment

Cloud platforms (AWS/GCP/Azure)

Team leadership / project leadership

English communication

MLOps

Python

GenAI

CI/CD

Outils

AWS

GCP

Azure

CI/CD tools

Description du poste

ML6 in Gent seeks a Tech Lead in AI/ML to design and deliver production-grade AI solutions in collaboration with client projects. You will own end-to-end delivery from data to deployment, lead engineers, and translate business challenges into robust technical architectures.

Join a hybrid team with strong emphasis on autonomy, growth, and client impact; expect a role blending hands-on coding with architectural leadership, MLOps, and cross-functional collaboration across AWS/GCP/Azure.