This role is for one of the Weekday's clients

We are looking for a Machine Learning Engineer to design, deploy, and optimize LLMs and multi-agent AI systems for healthcare automation. If you are passionate about AI in healthcare, have expertise in Python, Kubernetes, GCP, and ML frameworks, and enjoy working in a fast-paced, research-driven environment, this role is for you!

Key Responsibilities:

• Develop and optimize LLMs and multi-agent AI systems for healthcare automation.
• Build Python-based microservices using FastAPI (preferred) for seamless integration and scalability.
• Deploy, orchestrate, and manage ML services on Kubernetes & GCP to ensure high availability and performance.
• Utilize ML frameworks like TensorFlow and PyTorch to develop cutting-edge AI solutions.
• Conduct research and AI advancements to improve model efficiency, accuracy, and adaptability.
• Collaborate with cross-functional teams to integrate AI-powered solutions into real-world healthcare applications.

What We’re Looking For:

•  Proficiency in Python, with FastAPI experience being a plus.
• Strong machine learning expertise, including hands-on experience with LLMs, TensorFlow, PyTorch, and multi-agent AI systems.
• Experience deploying ML models in Kubernetes & GCP for scalable AI solutions.
• Ability to optimize ML models for efficient performance in production environments.
• Passion for AI-driven healthcare innovation and a research-driven mindset.