Machine Learning Engineer - Customer Solutions

Written by the T&S Network from Unitary's posting.

Builds AI Virtual Agents that automate customers' manual trust and safety and marketplace operations work, combining human expertise with AI. The role sits on the customer solutions side, delivering and supporting machine learning models and gradually building self-service tools so customers can run the automation themselves.

What you'd do

• Map customer workflows and design Virtual Agents that automate those processes.
• Provide hands-on support for machine learning models as they go to market with customers.
• Contribute to the Virtual Agent development platform as it scales with product strategy.
• Keep AI services reliable, observable, available and performant.
• Build full-stack pieces spanning software engineering, DevOps and MLOps.
• Develop self-service tools so customers can get value from the AI on their own.
• Lead technical deliveries and take ownership of customer outcomes.

What it asks for

• Proficiency in Python plus hands-on experience engineering machine learning systems.
• Experience applying AI to solve customer problems.
• Ability to develop, or willingness to learn to develop, agentic AI systems.
• Understanding of, or willingness to learn, Kubernetes deployment and deploying some infrastructure independently.
• Problem solving and project management skills for analyzing workflows and designing automated solutions.
• Strong communication skills for engaging customers and presenting ideas.
• Experience with MLOps practices and monitoring ML systems in production (preferred).

Worth knowing

• Travel to company offsites three times per year.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Unitarynorth_east before you apply. If we got something wrong, report this listing.