Job Description
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!
Requirements
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.
- 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 .
Key skill Required
- Python
- Automation
- Adaptability
- Design
- Healthcare
- High Availability
- Innovation
- Integration
- Kubernetes
- Learning
- Machine Learning
- Microservices
- Passionate
- PyTorch
- Research
- Scalability
- Seamless Integration
- TensorFlow
