Machine Learning Manager
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Job Description
Manager of AI/ML leading a team of machine learning engineers at AvaSure. Responsible for the architecture and execution of the ML lifecycle and ensuring production AI systems are scalable and reliable.
Responsibilities:
- Lead the architecture and end-to-end execution of the ML lifecycle - data strategy, model development, deployment, and continuous operation - primarily for computer vision and LLM/agentic systems
- Own the MLOps foundation: training and deployment pipelines, model serving, CI/CD for models, and reproducible experimentation
- Set and enforce standards for model accuracy and quality (evaluation frameworks, offline and online metrics, regression testing of models, and A/B testing) and hold the team to defined targets
- Ensure production AI systems are scalable and highly available: define service-level objectives for latency, throughput, and uptime, and establish monitoring, drift detection, alerting, and rollback practices
- Plan and manage team workload: delegate tasks, set daily, weekly, and monthly goals, and track progress against them
- Partner with product, data engineering, DevOps/infrastructure, and clinical stakeholders to align priorities and drive projects forward
Requirements:
- Bachelor's degree in a related field (Computer Science, Computer Information Systems, or equivalent)
- Advanced degree in Computer Science, Machine Learning, or a related discipline is preferred
- 7+ years of related machine learning or software engineering experience, including 3+ years managing technical teams
- Demonstrated experience leading teams that delivered ML/AI systems to production at scale, with accountability for accuracy, reliability, and availability
- Hands-on expertise in computer vision and/or LLM/agentic systems, with the ability to set the technical direction for both
- Expert-level proficiency in Python and strong command of the modern ML stack
- Proficiency in at least two ML frameworks (for example, PyTorch, TensorFlow, or Hugging Face Transformers)
- Working knowledge of MLOps practices: model deployment, serving, monitoring, drift detection
- Solid software engineering fundamentals, including design patterns, test-driven development, unit testing, and effective troubleshooting and debugging practices
- Able to lead, support, motivate, and mentor technical team members
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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