Lead AI Engineer: Production ML for Workday

Kainos; Newry; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in Newry is seeking a Lead AI Engineer to join their Workday Practice. This role focuses on bridging data science and software engineering to produce AI solutions, working closely with cross-functional teams to ensure high-performance AI features. Candidates should have extensive experience in software development, proficiency in several programming languages, and a strong background with AI/ML deployment. Join a diverse team committed to innovation and collaboration.

Qualifications

• Extensive experience in software development, with proficiency in languages such as Python, Java, or C++.
• Proven experience in deploying AI/ML models to production environments.
• Comprehensive experience with cloud platforms and AI tools.
• Proficiency in using containerization technologies (e.g., Docker).
• Strong skills in data engineering.

Responsibilities

• Bridge the gap between data science and software engineering.
• Deliver robust, scalable AI solutions for Workday products.
• Ensure seamless integration of AI models into production systems.
• Optimize performance and maintain reliability of AI features.

Skills

Software development experience

Proficiency in Python, Java, or C++

MLOps practices

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker, Kubernetes)

Data engineering skills

Agile methodologies

Interpersonal skills

Education

MSc or PhD in Computer Science, Machine Learning, Software Engineering or related field

Tools

AWS SageMaker

Azure ML Studio

Docker

Kubernetes

Job description

A leading technology company in Newry is seeking a Lead AI Engineer to join their Workday Practice. This role focuses on bridging data science and software engineering to produce AI solutions, working closely with cross-functional teams to ensure high-performance AI features. Candidates should have extensive experience in software development, proficiency in several programming languages, and a strong background with AI/ML deployment. Join a diverse team committed to innovation and collaboration.