Global AI/Data Engineer — Azure ML Pipelines (Hybrid)

Air Chefs; Woodstock (IL); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Funded postgraduate study

Extensive learning opportunities

Job summary

Air Chefs is seeking a data/ML engineer to build and own production-grade ML pipelines and scalable APIs deployed across global markets. You will develop cloud-native data platforms and AI solutions on Microsoft Azure, and help design resilient architectures while setting engineering standards.

You will collaborate with distributed teams, communicate complex outputs to clients, and mentor junior engineers. The role offers a hybrid work model, opportunities for growth, and involvement in

Qualifications

• 5-7 years in data or ML engineering with end-to-end pipelines.
• Strong Python or TypeScript development skills.
• Experience building cloud-native apps on Azure.
• Ability to communicate complex technical concepts clearly.
• Proactive, ideas-driven and committed to engineering quality.
• Experience mentoring junior engineers.

Responsibilities

• Build and own production-ready ML pipelines and scalable APIs.
• Engineer robust data platforms and AI solutions on Microsoft Azure.
• Design resilient architectures and set engineering standards.
• Collaborate with global teams and explain technical outputs to clients.

Skills

Python

TypeScript

End-to-end pipelines

Communication

Mentoring

Data/ML engineering

Tools

Azure

Cloud-native APIs

Job description

Air Chefs is seeking a data/ML engineer to build and own production-grade ML pipelines and scalable APIs deployed across global markets. You will develop cloud-native data platforms and AI solutions on Microsoft Azure, and help design resilient architectures while setting engineering standards.

You will collaborate with distributed teams, communicate complex outputs to clients, and mentor junior engineers. The role offers a hybrid work model, opportunities for growth, and involvement in