Lead ML/AI Engineer — Remote-First Healthcare Platform

Jobgether; Oregon; Hybrid; USD 190,000 - 240,000; Full time

Benefits offered by this job

Remote-first work environment

Paid time off and holidays

Parental leave

Health, dental, vision insurance

Job summary

Jobgether in the United States seeks a Lead ML/AI Engineer to own production infrastructure turning model predictions into measurable actions across healthcare markets. You will manage a real-time decision platform, connecting models, care teams, payer systems, and feedback loops, using AWS-native services with a Databricks lakehouse under PHI controls.

You will define standards for decisioning, streaming, MLOps, and generative AI while staying hands-on with core components.

Qualifications

• 8+ years in ML engineering, MLOps, or software engineering with 4+ years in production.
• 2+ years as technical lead or architect of production ML/decisioning systems.
• Experience building prescriptive production systems allocating resources for measurable outcomes.
• Production experience with AWS data/ML services and infra-as-code tools like Terraform/CDK/CloudFormation.
• Databricks, PySpark, Delta Lake, MLflow or equivalent.
• Hands-on with event-driven/streaming systems (Kinesis, Kafka), including schema management.
• Strong Python and SQL in production ML workloads and tooling.
• CI/CD for ML and monitoring/calibration across populations.
• Mentorship and establishment of engineering standards.

Responsibilities

• Own the decisioning and feedback layer linking model scores to actions and ROI calculations.
• Lead production savings calculations with medical economics and data science teams.
• Design real-time integrations between model outputs and operations, including streaming pipelines and data contracts.
• Define and maintain integration contracts for reliable data exchange.
• Establish cost-to-serve standards and budgets at model/decision levels.
• Set production standards for CI/CD, model registries, alerting, drift monitoring, and calibration.
• Build and maintain model promotion gates for production readiness.
• Own target architecture and roadmap for AWS-native infrastructure and Databricks lakehouse, with IaC and secure PHI handling.
• Define direction for generative AI, LLM pipelines, guardrails, and cost controls.
• Collaborate with data scientists, medical economics, and engineering on shared interfaces.
• Establish engineering standards for reviews, testing, reproducibility, and release discipline.
• Lead architecture/design reviews and mentor engineers and data scientists.
• Represent technical direction to R&D, finance, clinical, and operations stakeholders.

Skills

ML engineering

MLOps

Python

SQL

CI/CD for ML

Data pipelines

Model serving

Stakeholder communication

Education

Bachelor's degree in CS or related

Tools

AWS

Databricks

Terraform

CloudFormation

Kinesis/Kafka

MLflow

Job description

Jobgether in the United States seeks a Lead ML/AI Engineer to own production infrastructure turning model predictions into measurable actions across healthcare markets. You will manage a real-time decision platform, connecting models, care teams, payer systems, and feedback loops, using AWS-native services with a Databricks lakehouse under PHI controls.

You will define standards for decisioning, streaming, MLOps, and generative AI while staying hands-on with core components.