MicroHealth, LLC

Work with the MicroHealth generative AI (GenAI) product development team to develop, enhance, and implement artificial intelligence and machine learning solutions that improve productivity and quality of output.

ABOUT THE JOB

Design and build predictive models using machine learning algorithms, clean and process large datasets to identify patterns and trends, and develop GenAI applications including natural language processing and computer vision systems. You will collaborate with cross-functional teams to translate business requirements into technical solutions, create GenAI applications, data visualizations and reports to communicate findings to stakeholders, optimize model performance, and ensure scalability of AI systems while staying current with emerging AI technologies and best practices.

RESPONSIBILITIES

• Design and build predictive models using machine learning algorithms
• Clean and process large datasets to identify patterns and trends
• Develop GenAI applications including natural language processing and computer vision systems
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Create GenAI applications, data visualizations and reports to communicate findings to stakeholders
• Optimize model performance
• Ensure scalability of AI systems
• Stay current with emerging AI technologies and best practices

QUALIFICATIONS

• Degree in Data Science, Computer Science, Statistics, or related field
• 3+ years of experience in machine learning and statistical modeling
• Proficiency in Python, R, SQL, and AI frameworks such as TensorFlow and PyTorch
• Strong understanding of algorithms, data structures, and statistical methods
• Experience with cloud platforms like AWS, Azure, or GCP
• Experience with big data tools
• Excellent analytical and problem-solving skills
• Ability to communicate technical concepts to non-technical audiences
• Preferred qualifications include experience with deep learning and neural networks
• Knowledge of MLOps and model deployment practices

ADDITIONAL ELIGIBILITY

The ideal candidate will have a degree in Data Science, Computer Science, Statistics, or related field with 3+ years of experience in machine learning and statistical modeling. You should be proficient in Python, R, SQL, and AI frameworks such as TensorFlow and PyTorch, with a strong understanding of algorithms, data structures, and statistical methods. Experience with cloud platforms like AWS, Azure, or GCP and big data tools is required, along with excellent analytical and problem-solving skills and the ability to communicate technical concepts to non-technical audiences. Preferred qualifications include experience with deep learning and neural networks, and knowledge of MLOps and model deployment practices. This position offers the opportunity to work at the forefront of AI technology while making a meaningful impact on business outcomes through data-driven insights.

OTHER

The MicroHealth office facility is located in northern Virginia in the Tysons area.