ML Engineer

Netbell; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Netbell in the United States is seeking a middle-level ML Engineer to integrate large language models into products, optimize prompts, and assess response quality across metrics and human evaluation.

You will work within a microservice architecture, build retrieval-augmented generation systems, implement safety guardrails, and optimize inference while collaborating with product and ML teams to grow your skills under experienced leadership.

Qualifications

• Experience with large language models and their deployment in cloud environments.
• Experience integrating LLMs into products and optimizing prompts.
• Familiarity with microservice architectures and evaluation of model performance.

Responsibilities

• Integrate large language models into Netbell products and optimize prompts for quality.
• Evaluate response quality using metrics and human evaluation.
• Set up safety guardrails and monitoring for model outputs.
• Build retrieval-augmented generation systems and optimize inference processes.
• Collaborate with product and ML teams to drive improvements.

Skills

LLMs deployment

Cloud deployment

Prompt engineering

Evaluation metrics

Microservices

Tools

Python

PyTorch/TensorFlow

Docker

Kubernetes

RAG systems

Job description

Netbell is looking for a middle-level ML Engineer to integrate LLMs into their products and optimize response quality. Candidates should have practical experience with LLMs and deployment in cloud environments.

As an ML Engineer at Netbell, you will focus on integrating large language models into products, optimizing prompts, and evaluating response quality through both metrics and human evaluation. The role involves working with advanced technologies in a microservice architecture while collaborating closely with product and ML teams.

You will also be responsible for setting up safety guardrails, building retrieval-augmented generation systems, and optimizing inference processes. This position offers opportunities for skill enhancement under experienced leadership, making it suitable for candidates looking to grow in a dynamic environment.