AI​/ML Associate Developer

Company Overview

Health Stream is the leader in healthcare workforce solutions. We help organizations work better by helping their people work smarter.

Health Stream provides the leading learning, clinical development, credentialing, and scheduling applications delivered on healthcare’s #1 platform. We streamline everyday tasks while improving performance, engagement, and safety – fostering a workplace where people flourish, and care thrives.

At Health Stream, you’ll have the opportunity to make a meaningful impact on the future of healthcare by collaborating with a team of talented professionals dedicated to innovation and excellence. We offer competitive compensation, comprehensive benefits, and a supportive work environment where creativity and collaboration thrive.

• Mission-oriented work
• Diverse and inclusive culture
• Competitive Compensation & Bonuses
• Comprehensive Insurance Plans
• Mental and Physical Health Support
• Work-from-home flexibility
• Fitness Center Reimbursements
• Streaming Good time off for volunteering
• Wellness workshops
• Buddy Program for new Health Streamers
• Collaborative work environment
• Career growth opportunities
• Continuous learning opportunities
• Inspiring work spaces to collaborate and connect with other Health Streamers
• Free employee parking at our Resource Centers in Nashville and San Diego

We are seeking an entry-level AI/ML Associate Developer to join our team. In this pivotal role, you will work alongside experienced AI/ML Engineers and Software Engineers, and will be given the opportunity to learn and grow in a supportive, cutting‑edge technical environment.

You will focus on transforming proof‑of‑concepts into production‑ready systems, ensuring reliability, scalability, and performance in accordance with MLOps best practices. You will collaborate with team leaders and senior developers to understand and refine requirements, help design and estimate the effort for new AI/ML features, and develop quality, defect‑free code that adheres to Health Stream coding and documentation standards.

• Perform basic troubleshooting and debugging of AI/ML systems using specialized tools.
• Monitor AI/ML system performance post‑deployment and identify areas of drift or degradation.
• Understand and contribute to the Continuous Integration/Continuous Deployment (CI/CD) and MLOps principles relevant to AI/ML systems.
• Utilize Integrated Development Environments (IDEs) for developing, implementing, and training ML algorithms, primarily using Python.
• Leverage understanding of Source Control systems (e.g., Git) for managing model versions, code, and experiments.
• Implement and refine standard ML models using frameworks like Tensor Flow or PyTorch, ensuring adherence to engineering best practices.
• Perform essential data preprocessing, cleaning, and feature engineering to prepare complex datasets for model training.
• Develop a working knowledge of relational and No
  
  SQL databases, assisting in fetching, organizing, and maintaining the data required for ML pipelines.
• Clearly communicate model rationale, performance metrics, and technical implementation details with team members in both verbal and written form.
• Document code, model configurations, and experiment results accurately for knowledge sharing and auditing purposes.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field is required.
• Basic theoretical and practical knowledge of core Machine Learning algorithms, statistical modeling, and deep learning concepts.
• Familiarity with major ML frameworks (e.g., Tensor Flow, PyTorch) and scientific computing libraries (e.g., Num Py, Pandas, Scikit‑learn).
• Working knowledge of relational databases (SQL) and principles of data preprocessing, cleaning, and feature engineering.
• Basic understanding of the Machine Learning Operations (MLOps) lifecycle, CI/CD, and model deployment patterns (e.g., containerization using Docker).
• Eagerness to learn through self‑directed courseware and peer/senior staff mentoring.
• Attention to detail and commitment to adhere to corporate policies and…