Senior Machine Learning Engineering Manager

• Lead and oversee ML projects from planning to delivery, ensuring timely and budget-friendly completion. Conduct performance reviews, provide feedback, and support professional growth of your team members.
• Manage a team and also contribute towards productionizing machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
• Oversee the design and implementation of APIs for seamless integration with AI models and services.
• Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
• Participate in code reviews, testing, and quality assurance processes.
• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
• Document and communicate development processes, system designs, and architectural decisions.
• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
• Minimum 8+ years (4 years with Masters degree) of experience in industry with a strong focus on ML solutions development and production deployment.
• At least 3+ years of experience in Engineering Management with teams of 4 or more engineers
• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
• Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
• Familiarity with cloud platforms such as AWS or Azure.
• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc.

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.

All employees are responsible for adherence to the Judi Health 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.

We 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 .