Senior AI Engineer: Production ML & Responsible AI

Kainos; USA; Remote; USD 150.000 - 190.000; Vollzeit

Zusammenfassung

Kainos is hiring a Senior AI Engineer to deliver production-grade AI solutions using state-of-the-art ML, generative, and agentic technologies. You will collaborate with customers to translate business challenges into trustworthy AI outcomes and contribute to scalable cloud-native architectures.

The role emphasizes hands-on delivery, mentorship, and a culture of learning, while balancing fast-paced delivery with responsible AI practices and continuous improvement across teams.

Qualifikationen

• Minimum of a 2.1 degree in Computer Science, AI, Data Science, or similar.
• Experience deploying AI/ML solutions into production with metrics.
• Strong Python and software engineering practices.
• Experience on Azure/AWS, containerisation and orchestration.
• Expertise in AI data engineering with large-scale data.
• Understanding of responsible AI and model interpretability.
• Strong interpersonal skills and teamwork.

Aufgaben

• Deliver advanced AI solutions using ML, generative and agentic AI tech.
• Drive adoption of modern AI frameworks and scalable cloud-native architectures.
• Translate business challenges into trustworthy AI solutions with customers.
• Mentor colleagues and foster innovation and engineering excellence.

Kenntnisse

Python programming

Cloud platforms (Azure, AWS)

Kubernetes & Docker

Data engineering for AI

Responsible AI principles

Team collaboration

Ausbildung

Bachelor's degree in Computer Science or related

Tools

PyTorch

TensorFlow

Jobbeschreibung

Kainos is hiring a Senior AI Engineer to deliver production-grade AI solutions using state-of-the-art ML, generative, and agentic technologies. You will collaborate with customers to translate business challenges into trustworthy AI outcomes and contribute to scalable cloud-native architectures.

The role emphasizes hands-on delivery, mentorship, and a culture of learning, while balancing fast-paced delivery with responsible AI practices and continuous improvement across teams.