Lead MLops developer

Job Description

Dates: Sep 1 – Nov 29, 2025

3 month CTH

Location: Easton

Responsibilities

Build and maintain secure, scalable infrastructure for ML model training, testing, and deployment using open-source tools.

Create reusable deployment templates that standardize the path to production across teams.

Translate prototype models into resilient, monitored, and observable production systems.

Implement guardrails and controls that ensure compliance with internal standards (e.g., SR 11-7, ISO 42001).

Partner with data scientists to simplify onboarding to platform capabilities.

Establish CI/CD pipelines with hooks for testing, scanning, and validation of model code and artifacts.

Serve as a technical lead for cross-functional delivery efforts involving model onboarding and platform integration.

Required Qualifications

6+ years of experience in software, data, or ML engineering roles.

Strong hands-on experience with tools like MLflow, Metaflow, Airflow, or similar orchestration frameworks.

Production experience with Kubernetes, Docker, and Helm.

Deep understanding of Python and software engineering best practices.

Experience implementing CI/CD pipelines and infrastructure-as-code in a cloud or hybrid environment.

Preferred Qualifications

Experience working in regulated industries or environments with strong risk and compliance expectations.

Familiarity with open-source model monitoring, drift detection, or lineage tools (e.g., Evidently AI, Feast, LakeFS).

Hands-on experience serving models using KServe, Ray Serve, or Triton Inference Server.

Familiarity with enterprise security tools like Trivy, Aqua, or Snyk for code and container scanning.

Exposure to LLM/RAG architecture or GenAI platform integration.

Full-time

Hybrid remote