GenAI & LLM Translation ML Engineer

StaffXpert LLC; Washington (District of Columbia); On-site; USD 140,000 - 190,000; Full time

Job summary

STAFFXPERT LLC is seeking a Machine Learning Engineer / Data Scientist specializing in GenAI & LLMs to join our client’s team in Seattle. You will build scalable AI-powered translation solutions across text, image, and video, leveraging NLP, OCR, and multimodal models to operate at global scale.

You will fine-tune LLMs, evaluate models, and deploy production-grade ML pipelines. Collaboration with ML, software, data science, and MLOps teams is essential, along with communicating findings to

Qualifications

• Hands-on experience fine-tuning, evaluating, and optimizing LLMs.
• Experience designing and deploying production-grade ML solutions.
• Strong NLP/ML/DL and Generative AI knowledge.
• Proficiency in Python and handling large-scale data.

Responsibilities

• Design, develop, and deploy scalable ML and Generative AI solutions for multilingual translation.
• Fine-tune, evaluate, and optimize LLMs for production use cases.
• Develop OCR and Computer Vision capabilities for text detection and extraction.
• Collaborate with MLOps teams to automate training, deployment, monitoring, and inference.
• Communicate technical findings to both technical and non-technical stakeholders.

Skills

Fine-tuning LLMs

NLP & DL expertise

Python programming

Production ML systems

Model evaluation & experimentation

Education

Advanced degree in Computer Science or related

Tools

OCR systems

MLOps platforms

Job description

STAFFXPERT LLC is seeking a Machine Learning Engineer / Data Scientist specializing in GenAI & LLMs to join our client’s team in Seattle. You will build scalable AI-powered translation solutions across text, image, and video, leveraging NLP, OCR, and multimodal models to operate at global scale.

You will fine-tune LLMs, evaluate models, and deploy production-grade ML pipelines. Collaboration with ML, software, data science, and MLOps teams is essential, along with communicating findings to