Machine Learning Engineer

ABOUT US

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 3000 employees spread across 20 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

ABOUT THE ROLE

On behalf of our client in China, we are seeking a talented and motivated Machine Learning Engineer to join our growing team, focusing on Generative AI and Large Language Models (LLMs)

As a Machine Learning Engineer, you will play a key role in developing and deploying state-of-the-art Generative AI models and Large Language Models (LLMs). You will leverage your expertise in machine learning, cloud platforms, and modern AI technologies to build scalable and robust AI solutions. You will also collaborate with data scientists, software engineers, and product teams to bring AI-driven applications to life.

Responsibilities:

• Design, develop, and optimize machine learning models, particularly in the realm of Generative AI (e.g., GPT, Claude, LLaMA, Gemini).
• Develop end-to-end machine learning pipelines for training, fine-tuning, and deploying LLMs in production environments.
• Leverage cloud platforms such as Google Cloud (GCP), AWS, and Azure for deploying scalable AI models and data pipelines.
• Collaborate with cross-functional teams to integrate AI solutions into products and services.
• Conduct research on emerging AI technologies, staying up to date with trends in Generative AI and Natural Language Processing (NLP).
• Optimize models for performance, efficiency, and cost in cloud-based environments.
• Continuously improve existing models based on feedback and new advancements in machine learning.
• Document technical processes, solutions, and models for internal stakeholders.

Requirements:

• 3+ years of experience in machine learning, with a focus on Generative AI (LLMs, NLP, deep learning).
• Proficiency in Python and experience with TensorFlow or PyTorch.
• Hands-on experience with cloud platforms (GCP, AWS) and services like SageMaker or Vertex AI.
• Experience working with large language models (e.g., GPT, Claude, LLaMA, Gemini).
• Strong understanding of NLP techniques (transformers, BERT, GPT).
• Familiarity with Docker, Kubernetes, and MLOps practices.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field.

WHAT WE OFFER

Keyrus offers a working environment and projects that attract the best people working in business intelligence, data analytics, and digital transformation. Working on diverse and challenging projects, you will have the opportunity to develop multi-disciplinary IT/business skills to help you build a strong career path.

You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialized and professional consultants in a multicultural ecosystem.