Join a dynamic team as a Machine Learning Engineer, where you'll be at the forefront of AI innovation. You'll design and maintain critical AI infrastructure that supports various high-impact projects and enhances the company's digital transformation efforts.
Innovative and tech-driven
As a Machine Learning Engineer at Belay Talent Solutions, you will play a crucial role in the AI Hub, focusing on the design and implementation of AI infrastructure that supports the DT2.0 platform. Your work will involve building and maintaining essential components such as model serving, MLOps pipelines, and microservices, all aimed at driving the company's intelligent transformation initiatives.
In your day-to-day responsibilities, you will lead the technical delivery of high-impact use cases, including AI-assisted legacy modernization and intelligent operations. You will also be tasked with developing the foundational AI Agent Layer and reusable AI services that enhance onboarding, operations, and sales enablement processes. Your expertise in AI and machine learning techniques will be vital in accelerating the platform build through automated code analysis and predictive monitoring.
This role is ideal for someone with a solid background in AI infrastructure and a passion for innovation. You should be comfortable working in a collaborative environment and be ready to tackle complex challenges. Key requirements include experience in designing AI infrastructure, working with MLOps pipelines, and familiarity with microservices architecture.
If you're looking to make a significant impact in a tech-driven company, this position offers the opportunity to work on cutting-edge projects that shape the future of AI within the organization.
You'll be taken to the original listing on PNet to apply.