HealthStream

Sr. AI/ML Engineer

HealthStream
US Nashville, TN, US
Onsite 2026-06-27
Announced salary
$37,203
Low
$77K
Median
$101K
High
$134K
Market in Nashville · BLS OEWS 2025
Estimated net pay
$2,673
/month · 14% withheld
after tax & contributions · Single, no dependents

Job description

Name of Employer: HealthStream, Inc. Position Title: Sr. AI/ML Engineer Job Location: 500 11th Avenue North, Suite 850, Nashville, TN 37203 Salary: $103,958\.40/year Hours: Monday – Friday, 8:30 am to 5:00 pm **Summary of Duties:** * Serve as a leader in the design, implementation, and maintenance of large\-scale data intelligence solutions. * Perform studies and testing to develop machine learning algorithms along with pattern recognition and predictive models. * Able to utilize data computation and storage tools to create prototypes and datasets. Conduct model trainings and evaluations. * Implement rigorous testing and validation procedures to ensure the performance, accuracy, and reliability of AI/ML models. * Work closely with the development teams to integrate ML models into the enterprise solutions. * Understand client business needs and develop ML solutions to cater to their needs and demands. * Maintain comprehensive documentation of AI/ML models, code, and processes. * Stay up to date with the latest advancements in AI/ML. * Provide guidance and mentorship to junior members of the AI/ML team. * Perform other related duties as assigned. **Qualifications:** Master’s degree in Computer Science, Data Analytics, Applied Economics, or a related field of study AND One (1\) year of experience in the job offered or related occupation in which the required experience was gained. Must also have demonstrated experience with the following: Programming languages (Python, Java, or C\+\+); Managing large datasets and complex data pipelines; Statistical analysis and experimental design working with structured and unstructured datasets; Coding languages (Java, Scala or Python); Cloud Services and Concepts (AWS, Azure or Google Cloud); Relational Database technologies (MySQL or Postgres: data models, data mining, segmentation techniques and optimization; REST API design; Machine learning frameworks (Spark, TensorFlow, or PyTorch) and libraries (Scikit\-learn

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