Job Description
Are you passionate about turning complex business challenges into reliable, production-ready AI and machine learning solutions? We're seeking a hands-on MLOps Engineer / Senior Engineer to join our consulting team.
This is a cross-domain engineering role spanning solution architecture, cloud infrastructure, software development, data science, and machine learning operations. You will help clients move from experimentation to production by designing and building secure, scalable platforms and delivery practices across the full AI/ML lifecycle. You may work with traditional machine learning, generative AI, agentic systems, or other data-intensive solutions depending on the client context.
The ideal candidate combines a strong working grasp of data science and machine learning with engineering rigour: they can reason about system architecture, provision cloud infrastructure with Terraform, build automated delivery pipelines, write production-quality...