Responsibilities
- Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions.
- Act as a strategic partner to department leaders within the company and external clients as needed, mapping AI capabilities to business goals, identifying new use cases, and driving expansion.
- Lead the end-to-end onboarding process, including scoping, technical setup, and training, to ensure successful deployment.
- Track and analyze key AI usage metrics, such as model performance, adoption rates, and ROI, to inform optimization strategies.
- Guide clients through the organizational changes required for AI adoption, focusing on training and cultural alignment.
- Act as a liaison between the clients/departments and the AI product/engineering teams to resolve technical issues and advocate for product enhancements.
- Proactively identify potential bottlenecks, ethical concerns, or security risks in AI deployment.
- Manage and lead team of small team Machine Learning Engineers
- Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum 6 years (4 years with Masters degree) of experience in industry with a strong focus on ML solutions development and production deployment.
- At least 2 years of experience in Engineering Management with teams of 4 or more engineers
- Strong proficiency in Python.
- Familiarity with cloud platforms such as AWS or Azure.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemini etc. Experience developing and fine-tuning prompts on any of the GenAI services
- Passion for customer, innovation, product quality, service excellence, and test engineering
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Good written and communication skills that enable collaboration in a remote environment.
Work Arrangement
Hybrid
Team
Structure: small team Machine Learning Engineers
Additional Information
- All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
- Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
- By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
