Qualifications

Required

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 8+ years in ML engineering, MLOps, or software engineering, including 4+ years operating ML systems in production and 2+ years as the technical lead or architect of a production ML or decisioning system.
• Demonstrated experience building or operating prescriptive systems in production: recommendation, decisioning, prioritization, or experimentation platforms that allocate a constrained resource against a measured outcome.
• Production experience with AWS data and ML services and infrastructure as code (Terraform, CDK, or CloudFormation).
• Production experience with Databricks, PySpark, Delta Lake, MLflow, or equivalent.
• Hands-on experience designing and running event-driven or streaming systems (Kinesis, Kafka, or equivalent) with schema or contract management.
• Strong Python and SQL, and hands-on experience running ML workloads in production: training pipelines, model serving, feature systems, or ML platform tooling.
• CI/CD for ML workloads and model and pipeline monitoring, including calibration across heterogeneous populations.
• Track record of setting engineering standards and raising the bar on a team through review and mentorship.
• Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.
• Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.

Preferred

• Building and evaluating ML models with scikit-learn, XGBoost, or PyTorch.
• Healthcare economics or value-based care exposure: savings methodology, attribution, payer contract constraints.
• dbt and lakehouse data modeling.
• Healthcare data (claims, pharmacy, eligibility, prior authorization, EHR) and PHI handling requirements.
• Uplift modeling, bandit or sequential decisioning, or holdout-based measurement in production.
• Containerized model serving and staged or canary deployment patterns.
• Amazon Bedrock or other managed foundation-model platforms under a HIPAA BAA.
• Agentic frameworks and retrieval systems in production.
• Experience building or operating LLM-based applications, including evaluation and guardrails.

Skills

• Engineering Mentality – Finds the common denominator across work and builds the platform that makes the next model faster and safer to ship than the last.
• Scientific Approach – Treats a design as a hypothesis, instruments it, and changes course when the data says so.
• Seek Simplicity – Builds with the minimum necessary complexity and designs for the person who maintains it next.
• Ownership – Takes a system from design to production to monitoring and answers for whether it works in the market, not just whether it shipped.
• Collaborative – Works across data science, data engineering, software engineering, medical economics, clinical, and operations to agree on interfaces and hold to them.
• Good Communication – Explains what a system does, what it costs, and why it matters in terms a care team or finance partner can act on.

What's In It For You

• Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
• Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
• Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
• Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
• Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
• Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
• Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.

TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.