Machine Learning Platform Engineer

Infosys Pontoon • Richardson, TX

2d • Onsite

About The Position

We are seeking a Machine Learning Platform Engineer with 7 years of experience and a strong foundation in ML inference, deployment, and quality validation. The ideal candidate will be capable of end-to-end ownership from model deployment to user impact, with the ability to quickly adapt to new technologies. This role requires strong expertise in ML benchmarking and collaboration, along with hands-on experience deploying models on cloud platforms, preferably GCP. Familiarity with Java/JVM-based systems for model integration, streaming data architectures, and hybrid (on-prem and cloud) environments is essential. The candidate must possess solid system design and distributed systems knowledge for troubleshooting, and hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.

Requirements

• 7 years of experience
• Strong foundation in ML inference, deployment, and quality validation
• Ability to quickly adapt to new technologies
• Hands-on experience deploying models on cloud platforms (preferably GCP)
• Familiarity with Java/JVM-based systems for model integration
• Familiarity with streaming data architectures
• Familiarity with hybrid (on-prem and cloud) environments
• Solid system design and distributed systems knowledge
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX

Responsibilities

• End-to-end ownership from model deployment to user impact
• ML benchmarking and collaboration
• Deploying models on cloud platforms (preferably GCP)
• Model integration using Java/JVM-based systems
• Working with streaming data architectures
• Troubleshooting in hybrid (on-prem and cloud) environments
• Utilizing system design and distributed systems knowledge

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed