Machine Learning Engineer

About the Role

About exacare ai exacare ai is a leading healthtech company on a mission to build the AI operating system for post-acute care. Our platform connects referral sources, admissions workflows, and reimbursement systems so teams can review documentation, evaluate patients, and act quickly and confidently. Today, exacare ai powers more than 2,500 post-acute facilities / agencies. Backed by a $30M Series A led by Insight Partners, we’re bringing world-class talent together to transform healthcare. If you like building, learning, and making a real impact, come join us! About the Role We are seeking a highly adaptable, creative, and well-rounded Machine Learning Engineer to join our team. You will own the end-to-end ML lifecycle, from dataset creation and foundational research to building and deploying production-grade models. If you thrive in an environment where you can quickly iterate, experiment with cutting-edge techniques, and see your work make a tangible impact, this is the role for you. What You'll Do Novel Solution Development: Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems. Rapid Prototyping & Iteration: Build and manage efficient pipelines for rapid experimentation and hypothesis testing. Experiment Tracking: Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights & Biases. Model Deployment: Deploy models into production environments using CI/CD practices and model serving frameworks. Performance Monitoring: Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability. Advanced Model Optimization: Apply modern techniques to optimize models for inference speed, memory footprint, and cost. This includes quantization, pruning, and knowledge distillation Data Lifecycle Management:

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.