VP of Machine Learning
- Machine learning
- Other places
- 06/12/2024
- -
Hi, we’re Gravie. We are on a mission to revolutionize healthcare through innovative, consumer-centric health benefit solutions that enhance accessibility and usability. Our team strives to deliver industry-altering products and services fueled by a diverse workforce. At Gravie, we cherish authenticity and encourage you to be your true self!
Gravie has established a robust footing in the health benefits sector, backed by seasoned industry experts. Recognized as one of the fastest-growing companies in our field, we boast accolades such as the Inc. Magazine Best in Business Gold Medal for 2021 and inclusion in JMP Securities' Top 50 Private Companies in Insurtech for 2022. With low revenue churn and a unique, non-hierarchical culture, Gravie focuses on merit and a shared commitment to impacting our clients' lives positively.
As the VP of Machine Learning at Gravie, you will drive our AI/ML strategy, directly contributing to our overarching objectives and identifying key opportunities for leveraging AI/ML technologies. This position is perfect for leaders passionate about using advanced AI/ML methods to address real-world challenges.
- Develop and steer the AI/ML strategy in alignment with Gravie’s strategic goals.
- Manage the full ML project lifecycle, ensuring robust execution and delivery that meets our success criteria.
- Maintain adherence to the best ML practices and standards, while also defining KPIs to monitor and report on team performance.
- Lead and grow our ML team, promoting professional development and fostering collaboration.
- Liaise with various departments to ensure alignment of AI/ML initiatives with business demands and effective communication of data insights.
- Oversee data management infrastructure to support ML initiatives and enforce data governance standards.
- Stay abreast of the latest advancements in AI/ML, evaluating their relevance and potential impact on our strategic goals.
- Ensure compliance with legal and ethical standards in AI/ML practices.
- Advanced degree (Master’s or Ph.D.) in AI and Machine Learning, Statistics, Computer Science, or a related field.
- At least 5 years of experience in building and managing end-to-end ML projects, ideally in the healthcare or insurance sectors.
- Comprehensive understanding of AI/ML and statistical models, with a proven track record of effective application in practical settings.
- Expertise in machine learning tools and libraries such as Python, TensorFlow, and others.
- Skills in leading a team and managing complex ML projects aligned with strategic business goals.
- Excellent problem-solving abilities and a knack for strategic thinking.
- Prior experience in startup environments, particularly in healthcare and insurance.
- Familiarity with data pipelines and visualization tools like Tableau.
- Knowledge of healthcare regulations and compliance standards.
Our compensation package is highly competitive, complemented by a unique benefits program that includes flexible PTO, comprehensive parental leave, education reimbursements, and more. At Gravie, your expertise will directly impact the way people access and utilize healthcare, making a tangible difference in their lives.
Apply today and bring your unique skills and perspective to Gravie, where you can play a key role in shaping the future of health benefits.