AI/ML Associate Developer at HealthStream in Nashville, TN

Summary: HealthStream is the leader in healthcare workforce solutions, dedicated to enhancing the quality of healthcare. The AI/ML Associate Developer will work alongside experienced engineers to transform proof-of-concepts into production-ready systems, ensuring reliability and performance while adhering to MLOps best practices. Responsibilities: - 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 TensorFlow 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 NoSQL 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 Required Qualifications: - 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., TensorFlow, PyTorch) and scientific computing libraries (e.g., NumPy, 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 security standards - Proficiency in the Python programming language (including object-oriented principles) is essential - Excellent verbal and written communication skills for documenting code, explaining model performance, and collaborating with cross-functional teams - Must have strong logic and analytical skills to debug models, handle multiple priorities simultaneously, and demonstrate well-developed problem-solving skills in optimization and scaling - Must demonstrate excellent time-management, prioritization, attention to detail, and organization skills, especially regarding experiment tracking and version control (Git) Preferred Qualifications: - Ability to translate high-level mathematical or statistical concepts into robust, well-engineered, and scalable code - Ability to work well in a team and independently, contributing to a positive and productive work environment - Must have the ability to learn and adapt to new ML frameworks, research advancements, and cloud technologies (AWS, GCP, or Azure) rapidly - Must have the ability to communicate clearly and effectively with both technical stakeholders (Data Scientists, Software Engineers) and non-technical stakeholders (Product Managers) - Must be able to consistently meet established project deadlines for development, model training, testing, and deployment cycles Required Skills: Python, Machine Learning Important Skills: TensorFlow, PyTorch, SQL, MLOps Nice-to-Have Skills: Git, Data Preprocessing, Communication, Problem Solving Benefits: Medical, Dental and Vision insurance, Paid Time Off, Parental Leave, 401k and Roth, Flexible Spending Account, Health Savings Account, Life Insurance, Short- and Long-Term Disability, Medical Bridge Insurance, Critical Illness Insurance, Accident Insurance, Identity Protection, Legal Protection, Pet Insurance, Employee Assistance Program, Fitness Reimbursement