Senior ML/AI Platform Lead - Remote

GuruLink; Nashville (TN); Remote; USD 180,000 - 240,000; Full time

Job summary

GuruLink is recruiting a Lead ML/AI Engineer to serve as the technical lead for a production-grade platform turning model predictions into real-world actions for patients and care teams. You will set engineering standards for decisioning, streaming, and ML releases, staying hands-on in risky components and guiding Databricks lakehouse and AWS integration.

The role requires 8+ years in ML/engineering, strong leadership, and experience with streaming, IAM, and PHI data handling.

Qualifications

• 8+ years in ML engineering, MLOps, or software engineering with production ML experience.
• 2+ years leading production ML or decisioning systems as designer or architect.
• Experience building prescriptive systems (recommendation, decisioning, attribution) in production.
• Hands-on with AWS data/ML services and infrastructure as code (Terraform/CDK/CloudFormation).
• Proficiency with Databricks, PySpark, Delta Lake, MLflow or equivalent stack.
• Experience designing event-driven/streaming systems with schema management.
• Strong Python and SQL with production ML pipelines and feature systems.
• CI/CD for ML workloads and model/pipeline monitoring including calibration.

Responsibilities

• Own the layer between model score and actions: selection, ranking, holdout, experiments.
• Design production savings calculations that are auditable with medical economics teams.
• Build real-time event-driven integrations carrying model output to actions and systems.
• Set cost budgets per model/decision and make cost a release criterion.
• Define production bar for models: CI/CD, registry, drift, calibration by patient groups.
• Own AWS footprint and Databricks lakehouse architecture and governance.
• Lead GenAI pipeline direction with evals, guardrails, and cost controls for PHI data.
• Establish engineering standards, code reviews, testing, and release discipline.

Skills

ML engineering

MLOps

Technical leadership

Production ML

AWS + IaC

Databricks stack

Streaming systems

Python

SQL

CI/CD for ML

PHI data handling

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Databricks

PySpark

Delta Lake

MLflow

AWS

Terraform

CDK

CloudFormation

Kinesis

Kafka

Job description

GuruLink is recruiting a Lead ML/AI Engineer to serve as the technical lead for a production-grade platform turning model predictions into real-world actions for patients and care teams. You will set engineering standards for decisioning, streaming, and ML releases, staying hands-on in risky components and guiding Databricks lakehouse and AWS integration.

The role requires 8+ years in ML/engineering, strong leadership, and experience with streaming, IAM, and PHI data handling.