AI/ML Associate Developer
HealthStream
•
Nashville, TN
0
0
0
0
Not Applicable
Posted March 13, 2026
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Responsibilities
Commitments
Responsibilities
- You will be responsible for adhering to all HealthStream security policies, procedures, and assigned training.
- 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.
- Operational/Troubleshooting:
- 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.
- Development Skills:
- 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.
- Database Management:
- 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.
- 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.
Commitments
Work-from-home flexibility
Streaming Good time off for volunteering
Free employee parking at our Resource Centers in Nashville and San Diego
We offer flexibility and paid time off to support work-life integration for all employees, including a hybrid work environment and Streaming Good volunteer day.
For team members in commutable distance, HealthStream has Resource Centers in Nashville, TN and San Diego, CA.
Our resource centers provide an inspiring workspace to collaborate and recharge as well as company-sponsored onsite social events for development, connection, and celebration.
Must be able to consistently meet established project deadlines for developement, model training, testing, and deployment cycles.
Paid Time Off
Parental Leave
Flexible Spending Account
Req #43962
Not Met Priorities
What still needs stronger evidence
Requirements
- Develop a working knowledge of relational and NoSQL databases, assisting in fetching, organizing, and maintaining the data required for ML pipelines.
- 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.
- 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).
- 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 developement, model training, testing, and deployment cycles.
Education
- (Required) – Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field is required.
- (Not required) – Basic theoretical and practical knowledge of core Machine Learning algorithms, statistical modeling, and deep learning concepts.
- (Not required) – Familiarity with major ML frameworks (e.g., TensorFlow, PyTorch) and scientific computing libraries (e.g., NumPy, Pandas, Scikit-learn).
Company Overview
HealthStream is the leader in healthcare workforce solutions. We help organizations work better by helping their people work smarter.
HealthStream 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.
Why Join Us
At HealthStream, 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.
Our shared vision is to enhance the quality of healthcare by empowering the people who deliver care – a commitment we have upheld for over 30 years through providing innovative solutions and driving constant growth. Join us in revolutionizing the healthcare industry and shaping the future of patient care. As a HealthStreamer, you will be at the forefront of healthcare technology innovation, making a recurring impact on the industry.
We’re proud of our values-forward culture that offers our people:
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 HealthStreamers
Collaborative work environment
Career growth opportunities
Continuous learning opportunities
Inspiring workspaces to collaborate and connect with other HealthStreamers
Free employee parking at our Resource Centers in Nashville and San Diego
At HealthStream, our thriving culture encourages collaboration and values contributions, allowing our team members to continuously solve big problems and grow. We offer flexibility and paid time off to support work-life integration for all employees, including a hybrid work environment and Streaming Good volunteer day. For team members in commutable distance, HealthStream has Resource Centers in Nashville, TN and San Diego, CA. Our resource centers provide an inspiring workspace to collaborate and recharge as well as company-sponsored onsite social events for development, connection, and celebration.
We are committed to driving innovation in healthcare and ensuring that patients receive competent care from qualified professionals. As a HealthStream team member, you will help bring this vision to life. If you want to work for a company committed to its values and vision, HealthStream is the place for you!
HealthStream is an equal opportunity employer. HealthStream prohibits employment practices that discriminate against individual employees or groups of employees on the basis of age, color, disability, national origin, race, religion, sex, sexual orientation, pregnancy, veteran or military status, genetic information or any other category deemed protected by state and/or federal law.
Position Information
Position Overview
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 HealthStream coding and documentation standards.
Key Responsibilities
You will be responsible for adhering to all HealthStream security policies, procedures, and assigned training.
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.
Operational/Troubleshooting:
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.
Development Skills:
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.
Database Management:
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.
Communication:
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.
Qualifications
Requirements
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).
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 developement, model training, testing, and deployment cycles.
Compensation
The salary range for this position is $70,352 - $81,000. Salary will be determined on the candidate’s level of experience and qualifications. Compensation will be commensurate with skills, relevant experience, and performance in similar roles.
Benefits
HealthStream offers a comprehensive benefits package to eligible employees, including:
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
Are you passionate about enhancing healthcare outcomes and empowering healthcare professionals? Join the HealthStream team and become a HealthStreamer! Together, we can make a difference in the world of healthcare.
Req #43962
HealthStream is the leader in healthcare workforce solutions. We help organizations work better by helping their people work smarter.
HealthStream 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.
Why Join Us
At HealthStream, 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.
Our shared vision is to enhance the quality of healthcare by empowering the people who deliver care – a commitment we have upheld for over 30 years through providing innovative solutions and driving constant growth. Join us in revolutionizing the healthcare industry and shaping the future of patient care. As a HealthStreamer, you will be at the forefront of healthcare technology innovation, making a recurring impact on the industry.
We’re proud of our values-forward culture that offers our people:
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 HealthStreamers
Collaborative work environment
Career growth opportunities
Continuous learning opportunities
Inspiring workspaces to collaborate and connect with other HealthStreamers
Free employee parking at our Resource Centers in Nashville and San Diego
At HealthStream, our thriving culture encourages collaboration and values contributions, allowing our team members to continuously solve big problems and grow. We offer flexibility and paid time off to support work-life integration for all employees, including a hybrid work environment and Streaming Good volunteer day. For team members in commutable distance, HealthStream has Resource Centers in Nashville, TN and San Diego, CA. Our resource centers provide an inspiring workspace to collaborate and recharge as well as company-sponsored onsite social events for development, connection, and celebration.
We are committed to driving innovation in healthcare and ensuring that patients receive competent care from qualified professionals. As a HealthStream team member, you will help bring this vision to life. If you want to work for a company committed to its values and vision, HealthStream is the place for you!
HealthStream is an equal opportunity employer. HealthStream prohibits employment practices that discriminate against individual employees or groups of employees on the basis of age, color, disability, national origin, race, religion, sex, sexual orientation, pregnancy, veteran or military status, genetic information or any other category deemed protected by state and/or federal law.
Position Information
Position Overview
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 HealthStream coding and documentation standards.
Key Responsibilities
You will be responsible for adhering to all HealthStream security policies, procedures, and assigned training.
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.
Operational/Troubleshooting:
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.
Development Skills:
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.
Database Management:
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.
Communication:
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.
Qualifications
Requirements
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).
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 developement, model training, testing, and deployment cycles.
Compensation
The salary range for this position is $70,352 - $81,000. Salary will be determined on the candidate’s level of experience and qualifications. Compensation will be commensurate with skills, relevant experience, and performance in similar roles.
Benefits
HealthStream offers a comprehensive benefits package to eligible employees, including:
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
Are you passionate about enhancing healthcare outcomes and empowering healthcare professionals? Join the HealthStream team and become a HealthStreamer! Together, we can make a difference in the world of healthcare.
Req #43962