Lead AI/ML initiatives at the intersection of data, technology, and healthcare to predict health outcomes and improve care delivery. Drive engineering platforms, mentor teams, ensure compliance, and promote scalable AI solutions across the organization. Requires advanced technical expertise, leadership experience, and a US-based location.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
For our client, we are seeking a Director Ai/ml Applied Science - Remote to join the team of a leader in the Healthcare space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a healthcare environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $134,600 – $230,800 annually
Responsibilities
- Develop machine learning models for predicting health outcomes and improving care
- Create engineering platforms and reusable code for AI/ML development
- Stay updated on latest technologies to enhance business objectives
- Mentor team members in AI/ML project delivery
- Work with cross-functional teams to address business challenges with AI
- Ensure compliance with policies through collaboration with the Responsible Use of AI team
- Document algorithms and infrastructure, including patents and publications
- Promote AI models and platforms to enhance adoption across the organization
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- Masters degree in Computer Science, Math, Statistics, or related field with 10+ years experience OR a PhD in a relevant field with 5+ years experience
- 3+ years delivering AI/ML/NLP solutions
- 5+ years leading AI/ML projects from ideation to production
- Hands-on experience with AI/ML and/or NLP solutions
- Proficient in Python and frameworks like MLFlow, TensorFlow, PyTorch
- Experience with cloud platforms for data pipelines and ML models
- Familiarity with Gen AI pipelines and Large Language Models
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- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase options
- 401k contributions
- Flexibility to work remotely from anywhere in the U.S
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