Machine Learning Manager
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Job Description
Machine Learning Manager at AvaSure overseeing the design and deployment of AI solutions. Leading a team in a collaborative culture focused on innovative healthcare technology.
Responsibilities:
- Lead the end-to-end machine learning lifecycle, including data ingestion, model development, training, evaluation, deployment, monitoring, and iteration
- Own and evolve ML Ops architecture, including CI/CD for models, feature pipelines, model versioning, monitoring, and retraining strategies
- Serve as a player-coach, contributing directly to design reviews, code reviews, prototyping, and implementation for high-impact initiatives
- Architect and deploy computer vision models (e.g., CNNs, transformers, multimodal models) and LLM-based systems (e.g., prompt pipelines, fine-tuning, RAG, evaluation frameworks)
- Establish and track model performance, reliability, scalability, and ethical AI metrics, ensuring compliance with internal standards and regulatory expectations
- Lead project planning, feasibility analysis, and technical scoping for new AI-driven functionality
- Identify technical risks early and develop mitigation and contingency plans
- Maintain and design software primarily in Python, with the ability to contribute to or review code in C/C++, Java, JavaScript, C#, and mobile frameworks as needed
- Ensure strong testing discipline, including unit testing, integration testing, and test-driven development (TDD) practices
- Apply and mentor on software design patterns, debugging strategies, and production troubleshooting best practices
- Collaborate cross-functionally to align priorities, manage dependencies, and communicate progress, tradeoffs, and outcomes
- Write and present technical and executive-level status updates to stakeholders
- Oversee software and model releases and communicate release readiness and impact
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred)
- 7+ years of professional experience in machine learning or related engineering roles
- 1–3+ years of people leadership experience, preferably managing ML or data-focused teams
- Demonstrated, hands-on experience with computer vision frameworks (e.g., PyTorch, TensorFlow, OpenCV)
- LLMs and modern NLP systems, including prompt engineering, fine-tuning, evaluation, and deployment
- At least two machine learning frameworks
- Strong proficiency in Python; experience with production-grade ML systems
- Proven ability to define, estimate, and deliver complex technical projects on schedule
- Experience designing task hierarchies, managing scope across features and epics, and balancing technical debt with delivery
- Excellent communication skills with both technical and non-technical stakeholders
- Demonstrated initiative in improving systems, processes, and codebases
- Strong collaboration skills and a positive, team-first mindset.
Benefits:
- AvaSure sponsored Medical, Dental & Vision
- Safe Harbor 401K with Employer Matching up to 4%
- HSA Employer Contributions
- Employer Paid Life, Short-term and Long-term Disability, and AD&D Insurance Plans
- Flexible Time Off Plan & Paid Holidays
- Parental Leave
- Generous Tuition & Continuing Education Reimbursement available
- Employee Referral Bonus
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