MLOps Engineer

Dexian; Pflugerville (TX); Remote; USD 110.000 - 165.000; Vollzeit

Zusammenfassung

Dexian is seeking an experienced MLOps Engineer to support production ML models powering a large-scale retail search platform. This fully remote, six-month contract-to-hire role emphasizes production model serving, automated ML pipelines, deployment, monitoring, and performance optimization.

The ideal candidate has hands-on production ML experience, strong Python skills, and cloud ML platform expertise, preferably GCP Vertex AI.

Qualifikationen

• Production ML model deployment and serving experience.
• Strong Python programming skills.
• Experience with MLOps, automated pipelines, and CI/CD.
• Hands-on cloud ML platform experience; Vertex AI preferred.
• Experience with production model monitoring and drift detection.
• Experience using AI agents for development and automation.

Aufgaben

• Deploy, maintain, and optimize production ML models.
• Build automated model training, refresh, and deployment pipelines.
• Implement ML CI/CD, monitoring, alerting, and drift detection.
• Optimize inference latency, scalability, and system performance.
• Collaborate with Data Science teams on production ML solutions.
• Leverage AI agents for pipeline development, testing, and automation.

Kenntnisse

ML model serving

Python

MLOps

CI/CD

Monitoring

AI agents

Tools

Vertex AI

GKE

BigQuery

Airflow

Kubernetes

Triton Inference Server

Jobbeschreibung

Job Title: MLOps Engineer
Duration: 6 Months Contract-to-Hire
Work Mode: Fully Remote

Position Summary

We are seeking an experienced MLOps Engineer to support production machine learning models powering a large-scale retail search platform. This role focuses on production model serving, automated ML pipelines, deployment, monitoring, and performance optimization. The ideal candidate has hands‑on production ML experience, strong Python skills, and cloud ML platform expertise, preferably GCP Vertex AI.

Key Responsibilities

• Deploy, maintain, and optimize production ML models.
• Build automated model training, refresh, and deployment pipelines.
• Implement ML CI/CD, monitoring, alerting, and drift detection.
• Optimize inference latency, scalability, and system performance.
• Collaborate with Data Science teams on production ML solutions.
• Leverage AI agents such as Claude or Gemini for pipeline development, testing, and automation.

Key Required Qualifications

• Hands‑on production ML model serving and deployment experience.
• Strong Python programming skills.
• Experience with MLOps, automated pipelines, and model CI/CD.
• Hands‑on cloud ML platform experience; Vertex AI preferred.
• Experience with production model monitoring and optimization.
• Experience using AI agents for development and automation.

Preferred Qualifications

• GCP: Vertex AI, GKE, BigQuery, Cloud Composer/Airflow.
• Kubernetes or Triton Inference Server.
• LLM/SLM serving or fine‑tuning experience.
• Search, ranking, semantic search, or recommendation systems.
• Java experience or willingness to learn using AI tools.

Note

Note: Candidates must have actual production ML model deployment and serving experience. Training‑only or personal project experience will not qualify.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority‑owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting‑edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory‑changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.