Senior ML Platform Engineer – Real-Time Healthcare AI

Jobgether; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote-first work environment

Hybrid option in Nashville

PTO and holidays

Parental leave

Health, dental and vision insurance

Life and disability insurance

HSA and 401(k) with employer match

Job summary

Jobgether in the United States is seeking a senior ML/AI engineering leader to own the production platform that turns model predictions into actions across healthcare markets. You will work with AWS, Databricks lakehouse, and PHI controls, establishing standards for decisioning, streaming, MLOps, and generative AI while remaining hands-on with critical components.

This role requires deep software and infrastructure expertise, strong leadership, and a track record of operating production ML

Qualifications

• 8+ years in ML engineering, MLOps or software engineering.
• 4+ years operating ML systems in production.
• 2+ years as technical lead or architect of production ML/decisioning systems.
• Experience with AWS data/ML services and IaC tools (Terraform, CDK, CloudFormation).
• Experience with Databricks, PySpark, Delta Lake, MLflow.
• Hands-on with event-driven/streaming systems (Kinesis, Kafka).
• Strong Python and SQL for production ML workloads.
• CI/CD for ML workloads and monitoring.
• Willingness to travel up to 10% for onsite meetings and events.

Responsibilities

• Own the decisioning and feedback layer connecting model scores to actions, including ranking and ROI calculations.
• Lead production savings calculations with medical economics and data science.
• Design real-time integrations between model outputs and operational systems.
• Define and maintain integration contracts with partner teams for data exchange.
• Establish cost-to-serve standards for compute, streaming, and LLM budgets.
• Set production standards for ML models, CI/CD, monitoring, and drift calibration.
• Build/model promotion gates to ensure deployment readiness.
• Own architecture for AWS-native infra and Databricks lakehouse with IaC and secure data handling.
• Define direction for generative AI apps with guardrails and cost controls.
• Collaborate with data scientists, medical economics, and engineering on shared pipelines.
• Establish engineering standards and enforce code reviews and release discipline.
• Lead architecture reviews and mentor engineers and data scientists.
• Represent technical direction to R&D, finance, clinical and operations stakeholders.

Skills

ML engineering

MLOps

Python

SQL

Leadership

CI/CD for ML

Mentoring

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

CDK

CloudFormation

Databricks

PySpark

Delta Lake

MLflow

Kinesis

Kafka

Docker

Job description

Jobgether in the United States is seeking a senior ML/AI engineering leader to own the production platform that turns model predictions into actions across healthcare markets. You will work with AWS, Databricks lakehouse, and PHI controls, establishing standards for decisioning, streaming, MLOps, and generative AI while remaining hands-on with critical components.

This role requires deep software and infrastructure expertise, strong leadership, and a track record of operating production ML