MicroHealth
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.
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.
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.
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Interview prep for this program▸
- ▸ "How many of your past SkillBridge interns received full-time offers?" — a serious program knows the number.
- ▸ "Who will my day-to-day mentor be, and what does week one look like?"
- ▸ "The listing says 91 - 120 days — can that flex to my approved window if my command shortens it?"
- ▸ "Is relocation expected for a full-time offer, or can I convert where I am?"
- ▸ Confirm the eligibility notes above — ask exactly what they need from you and when.
- ✓ Your projected start window and separation date (from your profile)
- ✓ Your command's approval status — even "packet drafted" signals you're serious
- ✓ Your civilian-translated resume bullets (generate them here)
- ✓ A written training-plan ask — you'll need it for your packet anyway
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