HealthStream · 5 hours ago
AI/ML Associate Developer
Nashville, TN
Full-time
Hybrid
New Grad, Entry Level
$70K/yr - $81K/yrHealthStream 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.
Enterprise SoftwarePublishingEducationSoftwareE-LearningOnline Portals
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
Qualification
Required
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
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
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
Company
HealthStream
HealthStream is a HealthTech company that provides training, credentialing, and workforce management software for healthcare organisations..
Founded in 1990
501-1000 employees
H1B Sponsorship
HealthStream has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (28)
2023 (18)
2022 (49)
2021 (22)
2020 (23)
Funding
Current Stage
Public CompanyTotal Funding
$13.7MKey Investors
Morgan Stanley Dean Witter
2014-03-19Post Ipo Equity· $2.4M
2000-04-14IPO
1999-05-02Series Unknown· $11.3M
Leadership Team
Jeffrey Cunningham
CTO
J. Edward Pearson
President & COO
Recent News
Home Health Care News
2026-01-15
2025-12-18
2025-12-17
Company data provided by crunchbase