Experienced Machine Learning Engineer for AI

Step into a vital role as a Machine Learning Engineer, specializing in foundation models and agentic AI for clinical applications. Focus on developing AI systems that empower clinical reporting and enhance conversational assistance. This position calls for a strong technical foundation in ML and AI systems. You will create and optimize LLM-based workflows, ensuring optimal performance in a regulated environment. Key competencies include expertise in Python, deep learning, and backend integration practices. Key Responsibilities: • Create and scale ML training pipelines with scientists • Design workflows that utilize agentic and LLM technologies • Develop retrieval-augmented pipelines for backend services • Establish practices for quality monitoring and evaluation • Support the deployment of models on secure cloud platforms Requirements: • Over 4 years of experience in machine learning • Proficiency in deep learning techniques and Python • Familiarity with PyTorch and distributed training tools • Experience in building microservices and APIs • Knowledge of compliance in healthcare technology Contribute your machine learning expertise to improve healthcare solutions and elevate clinical efficiency. #J-18808-Ljbffr