ML Engineer

We Are Hiring: Machine Learning Engineer / Data Scientist (GenAI & LLM) We are currently hiring for a major enterprise client that is building next-generation AI-powered translation solutions used on a global scale. This is an exciting opportunity to join a fast-growing team focused on leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to automate the translation of text, image, and video content across 130+ languages and locales.

If you have hands-on experience fine-tuning LLMs, building production-grade machine learning solutions, and solving complex NLP challenges, we'd love to hear from you.

Project Overview Our client is developing a highly scalable AI-driven translation platform capable of processing millions of content assets daily with minimal human intervention. The platform analyzes text, images, and videos to identify translation opportunities, extract content using OCR and computer vision technologies, generate high-quality translations, and seamlessly render translated content back into its original format.

The team operates with a start-up mindset and is focused on building innovative GenAI solutions from the ground up. This role offers the opportunity to work on large-scale machine learning systems that directly impact global users and support multilingual experiences across more than 130 locales.

Roles & Responsibilities Design, develop, and deploy scalable Machine Learning and Generative AI solutions for multilingual translation services.

Evaluate, fine-tune, and optimize Large Language Models (LLMs) and NLP models for production environments.

Build intelligent systems capable of identifying translation opportunities across text, image, and video content.

Develop and enhance OCR and Computer Vision models for text extraction, text detection, and content understanding.

Select the most appropriate foundation models based on performance, latency, scalability, and business requirements.

Fine-tune machine learning models to improve translation accuracy and overall model performance.

Develop and maintain AI pipelines supporting translations across 130+ global languages and locales.

Collaborate with Machine Learning Engineers, Software Engineers, Product Managers, Data Scientists, and MLOps teams to deliver production-ready solutions.

Identify automation opportunities within the translation lifecycle and help eliminate manual processes.

Perform data analysis and experimentation to generate insights and drive technical recommendations.

Partner with MLOps teams to automate model training, deployment, monitoring, and inferencing processes.

Contribute to the development of high-performance, low-latency AI systems operating at enterprise scale.

Apply advanced NLP, Machine Learning, Deep Learning, and Generative AI techniques to solve complex multilingual challenges.

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

Research emerging advancements in LLMs, NLP, Computer Vision, and Generative AI to continuously improve platform capabilities.

Support the vision of a fully automated translation ecosystem capable of translating millions of content assets daily with minimal human involvement.

Ideal Background Hands-on experience fine-tuning and optimizing Large Language Models (LLMs).

Strong understanding of how foundation models work beyond prompt engineering.

Experience building and deploying production-grade machine learning solutions.

Strong background in NLP, Machine Learning, Deep Learning, or Generative AI.

Proficiency in Python and experience working within large-scale data and AI environments.

Experience evaluating and selecting the right AI/ML models for specific business problems.

Familiarity with OCR, Computer Vision, model hosting, and MLOps practices is highly desirable.

Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field is preferred.

GCS is acting as an Employment Business in relation to this vacancy.

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