MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)

HumanitApp; Northern (KY); Hybrid; USD 257,887,000 - 343,849,000; Full time

Job summary

HumanitApp is seeking a talented ML/Ops professional to join our GenAI team focused on building foundational AI models and optimizing AI evaluation workflows. You will contribute to clinical reasoning, data science, and ML model development, working on challenging large language model projects.

The role requires familiarity with JAX and machine learning, a willingness to commit to 40 hours per week, and adaptability to changing project needs as we advance AI capabilities.

Qualifications

• Experience in AI evaluation, clinical reasoning and data science.
• Knowledge of ML and foundational AI model development is a plus.
• Willingness to work 40 hours per week and adapt to varying project hours.

Responsibilities

• Help build foundational AI models from the ground up.
• Contribute to MLOps workflows and AI evaluation tasks.
• Collaborate with a GenAI team to advance Large Language Models.

Skills

AI evaluation

Clinical reasoning

Data science

Machine learning

Tools

JAX

Job description

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

1. Overview

Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking MLOps...

AI evaluation Clinical reasoning Data science JAX Machine learning

Who this role may fit

This opportunity may suit professionals with relevant experience in AI evaluation, Clinical reasoning, Data science, JAX. Review the official description and requirements before applying.

Compensation context

The listing states $90 - $120 / hour. Confirm the final rate, workload, and payment terms during the official application process.

• You can show recent, specific work involving AI evaluation, Clinical reasoning, Data science.
• The listed commitment of 40 hours/week fits your schedule.
• You can communicate your reasoning clearly in the application language.
• You are comfortable with project availability and hours varying over time.