AI/ML Cloud Platform Engineer

Google; Little Rock (AR); On-site; USD 24,796 - 41,328; Full time

Job summary

Google is seeking a Software Engineer in Little Rock, USA, to contribute to the Google Cloud Platform with emphasis on large-scale AI/ML capabilities. You will work on enabling clients to adopt AI accelerators, run benchmarks, and optimize model performance.

The role involves collaboration with Cloud AI teams to deliver cost-efficient, scalable cloud solutions. The position expects a bachelor’s degree and hands-on programming experience, including exposure to ML tooling and profilers.

Qualifications

• Four year certification or comparable down to earth insight.
• 2 years of involvement with programming advancement, and with information structures/calculations.
• Experience preparing and calibrating huge models with gas pedals and running MLPerf benchmarks.
• Experience with execution profiling apparatuses (e.g., TensorFlow profiler, PyTorch profiler, TensorBoard).
• Experience planning/architecting enormous scope foundation ranches for expert man-made intelligence use cases.

Responsibilities

• Act as a believed counsel to our clients, helping them get it and integrate simulated intelligence gas pedals into their general cloud technique by suggesting relocation ways, mix procedures, and application engineering that consolidate Google Cloud artificial intelligence streamlined foundation.
• Exhibit how Google Cloud is separated, featuring the force of gas pedals by working with clients on POCs, showing highlights, advancing model execution, profiling, and seat checking.
• Fabricate repeatable resources for empower different clients and inner groups.
• Impact Google Cloud system at the crossing point of framework and computer based intelligence/ML by upholding for big business client prerequisites.
• Go to client locales and occasions on a case by case basis.

Skills

Programming experience

Data structures/algorithms

ML model benchmarking

Execution profiling tools

Education

Bachelor Degree

Tools

TensorFlow profiler

PyTorch profiler

TensorBoard

Job description

Google is seeking a Software Engineer in Little Rock, USA, to contribute to the Google Cloud Platform with emphasis on large-scale AI/ML capabilities. You will work on enabling clients to adopt AI accelerators, run benchmarks, and optimize model performance.

The role involves collaboration with Cloud AI teams to deliver cost-efficient, scalable cloud solutions. The position expects a bachelor’s degree and hands-on programming experience, including exposure to ML tooling and profilers.