Lead ML/AI Platform Engineer (Remote, Healthcare Impact)

Jobgether; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Remote-first work environment

Hybrid option in Nashville

Generous PTO and holidays

Parental leave

Day-1 medical, dental, and vision

Life and disability insurance

Wellness resources and an employer HSA

401(k) retirement plan with employer _

Meaningful healthcare initiatives

Inclusive and collaborative working环境

Job summary

Jobgether is seeking a Lead ML/AI Engineer to own production-grade ML platforms, connecting model outputs to real-world decisions and measuring impact. You will design real-time integrations, establish budgets, and drive CI/CD for ML workflows.

You will partner with data scientists, medical economics, and engineering teams to set standards, review architectures, and mentor staff while traveling up to 10%. This role requires extensive production ML leadership in AWS and Databricks environments.

Qualifications

• 8+ years in ML engineering or software engineering with 4+ years in production ML.
• 2+ years as tech lead or architect of production ML/decisioning systems.
• Experience building prescriptive production systems like recommendation or decisioning platforms.
• Production AWS data & ML services with IaC tools (Terraform, CDK, or CloudFormation).
• Experience with Databricks, PySpark, Delta Lake, MLflow.
• Hands-on with streaming systems (Kinesis/Kafka) and schema management.
• Strong Python and SQL; manage training pipelines, serving, and feature stores.
• Experience implementing CI/CD for ML workloads and monitoring.
• Mentorship and establishing engineering standards; code reviews.
• Travel up to 10%

Responsibilities

• Own the decisioning and feedback layer from model scores to actions.
• Design event-driven real-time integrations between model outputs and operations.
• Define integration contracts and data exchange standards with partner teams.
• Establish cost-to-serve budgets and include as release criteria.
• Set production standards for models, CI/CD, drift monitoring, calibration.
• Build model promotion gates for deployment readiness.
• Own target architecture for AWS-native infra and Databricks lakehouse.
• Collaborate with data scientists and medical/economics teams on methodologies.
• Lead architecture reviews and mentor engineers.

Skills

ML engineering

MLOps

Python

SQL

AWS

Databricks

CI/CD for ML

Streaming systems

Terraform/CDK

Leadership

Education

Bachelor's degree in Computer Science or related field

Equivalent professional experience

Tools

Databricks

PySpark

Delta Lake

MLflow

Kafka

Kinesis

Terraform

CloudFormation

Job description

Jobgether is seeking a Lead ML/AI Engineer to own production-grade ML platforms, connecting model outputs to real-world decisions and measuring impact. You will design real-time integrations, establish budgets, and drive CI/CD for ML workflows.

You will partner with data scientists, medical economics, and engineering teams to set standards, review architectures, and mentor staff while traveling up to 10%. This role requires extensive production ML leadership in AWS and Databricks environments.