Machine Learning Manager

AvaSure

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.

Posted 6/5/2026full-timeRemote • Missouri • 🇺🇸 United StatesSeniorLead💰 $180,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningcomputer visionLLM systemsPythonMLOpsPyTorchTensorFlowHugging Face TransformersCI/CDtest-driven development

Soft Skills

leadershipteam managementdelegationgoal settingmentoringcommunicationcollaborationmotivationaccountabilityproblem-solving

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Computer Information SystemsAdvanced degree in Computer ScienceAdvanced degree in Machine Learning