Remote Director of AI Engineering - Join a Leading Care Platform
About the Role
We are seeking a Remote Director of AI Engineering to lead our innovative team at Lantern, a specialty care platform connecting individuals with top-tier healthcare providers. As a Remote Director of AI Engineering, you will play a pivotal role in shaping the future of healthcare technology, ensuring that our AI solutions are not only effective but also enhance the patient experience.
What You'll Do
- Lead the AI engineering team in developing cutting-edge AI solutions for healthcare applications.
- Collaborate with cross-functional teams to integrate AI technologies into existing platforms.
- Drive the strategy and execution of AI projects, ensuring alignment with business goals.
- Mentor and guide team members, fostering a culture of innovation and continuous improvement.
- Utilize data-driven insights to enhance AI models and improve patient outcomes.
Requirements
- Proven experience in AI engineering, with a focus on healthcare applications.
- Strong leadership skills with a track record of managing high-performing teams.
- Expertise in machine learning, natural language processing, and data analytics.
- Excellent problem-solving abilities and a passion for driving change in healthcare.
- Experience in a remote work environment is preferred.
Nice to Have
- Familiarity with healthcare regulations and compliance.
- Experience with cloud platforms such as AWS or Azure.
- Knowledge of patient management systems and electronic health records.
What We Offer
- Competitive salary ranging from $180,000 to $220,000 annually.
- Flexible remote work environment.
- Comprehensive health benefits and wellness programs.
- Opportunities for professional development and growth.
- A chance to make a significant impact in the healthcare industry.
This role offers a unique opportunity to lead AI innovations in healthcare at Lantern, a trusted platform for over 6 million members. Competitive salary and remote flexibility make it an attractive position.
Who Will Succeed Here
Expert in AI Engineering with hands-on experience in deploying Machine Learning models using TensorFlow and PyTorch, ensuring high performance and scalability in cloud environments like AWS or Azure.
Proven track record of leading remote teams effectively, demonstrating strong self-management and communication skills while fostering a culture of innovation and collaboration among distributed team members.
Deep understanding of Natural Language Processing (NLP) techniques and their application in healthcare settings, with a strategic mindset focused on improving patient engagement through data-driven insights.
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