Data Scientist/Applied Scientist

Machine Learning Engineer / Data Scientist – GenAI & LLM

Location:

Seattle, WA

Job Summary

STAFFXPERT LLC is seeking a

Machine Learning Engineer / Data Scientist – GenAI & LLM

on behalf of our client in

Seattle, WA

to help build next-generation, AI-powered translation solutions at global scale. The role focuses on

Generative AI, Large Language Models (LLMs), NLP, Computer Vision, and OCR

to automate the translation of text, image, and video content across 130+ languages and locales.

The ideal candidate will have hands-on experience developing and fine-tuning LLMs, building production-grade machine learning solutions, and applying advanced AI techniques to complex multilingual challenges. This is an opportunity to work in a highly innovative, fast-paced environment and contribute to scalable AI systems processing millions of content assets.

Key Responsibilities

• Design, develop, and deploy scalable

Machine Learning and Generative AI solutions

for multilingual translation.

• Evaluate, fine-tune, optimize, and deploy

LLMs and NLP models

for production use cases.

• Develop intelligent solutions to identify translation opportunities across

text, images, and video

.

• Build and enhance

OCR and Computer Vision

capabilities for text detection, extraction, and content understanding.

• Evaluate and select foundation models based on

accuracy, latency, scalability, and business requirements

.

• Develop and maintain AI pipelines supporting translation across

130+ languages and locales

.

• Partner with MLOps teams to automate

model training, deployment, monitoring, and inference

.

• Conduct data analysis, experimentation, and model evaluation to improve AI system performance.
• Develop high-performance, low-latency AI solutions capable of operating at enterprise scale.
• Identify opportunities to automate manual processes throughout the translation lifecycle.
• Collaborate with Machine Learning Engineers, Software Engineers, Data Scientists, Product Managers, and MLOps teams.
• Research emerging advancements in

LLMs, NLP, Computer Vision, and Generative AI

and apply relevant technologies to the platform.

• Communicate technical findings, solutions, and recommendations effectively to technical and non-technical stakeholders.

Required Qualifications

• Hands-on experience

fine-tuning, evaluating, and optimizing Large Language Models (LLMs)

.

• Strong understanding of

foundation models, machine learning, and deep learning concepts

beyond prompt engineering.

• Experience designing and deploying

production-grade machine learning solutions

.

• Strong expertise in

NLP, Machine Learning, Deep Learning, or Generative AI

.

• Strong programming skills in

Python

.

• Experience working with large-scale data, AI, or machine learning environments.
• Demonstrated ability to evaluate and select appropriate

AI/ML models

for business and technical requirements.

• Strong problem-solving, analytical, experimentation, and communication skills.
• Ability to work effectively in a collaborative, cross-functional engineering environment.

Preferred Qualifications

• Experience with

OCR and Computer Vision

systems.

• Experience with multilingual or machine translation systems.
• Familiarity with

MLOps, model hosting, model monitoring, and automated ML pipelines

.

• Experience optimizing AI systems for

high throughput, scalability, and low latency

.

• Experience working with multimodal AI involving text, image, and video.
• Familiarity with modern LLM architectures, fine-tuning techniques, evaluation frameworks, and inference optimization.
• Advanced degree in

Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field

.

Why This Opportunity?

Join a high-impact AI initiative focused on building a scalable, highly automated translation ecosystem serving

global users across 130+ languages and locales

. You will have the opportunity to work on challenging real-world problems spanning LLMs, NLP, Computer Vision, OCR, and MLOps while helping shape the future of AI-powered multilingual experiences.