C2C Job Opening – ML Ops Engineer | Concord, CA

Tech Mirrors; Concord (CA); On-site; USD 120,000 - 150,000; Part time

Job summary

Tech Mirrors is searching for an experienced ML Ops Engineer in Concord, CA to drive the complete lifecycle of machine learning solutions. This role requires local candidates as in-person presence is mandatory.

The ideal candidate should have 10+ years in Software Engineering, 3+ years in AI/ML Ops, and expertise in Java, Python, and SQL. You will develop and maintain ML pipelines and automate model management across various cloud platforms.

Qualifications

• 10+ years in Software Engineering & 3+ years in AI/ML Ops.
• Strong skills in Java, Python, SQL, and ML libraries.
• Experience with Docker, Kubernetes, and cloud platforms.

Responsibilities

• Develop and maintain ML pipelines using MLflow, Kubeflow, or Vertex AI.
• Automate model training, testing, deployment, and monitoring across GCP/AWS/Azure.
• Implement CI/CD workflows for model lifecycle management.
• Monitor model performance and ensure governance compliance.
• Support containerized environments and low-latency model APIs.
• Utilize AutoML tools for rapid deployment and documentation automation.

Skills

Software Engineering

AI/ML Ops

Java

Python

SQL

Docker

Kubernetes

GCP

AWS

Azure

Tools

MLflow

Kubeflow

Vertex AI

Airflow

Spark

AutoML

Job description

Position: ML Ops Engineer

Type: Contract

Location: Concord, CA (Local candidates only – In-person required)

Job Description

Tachyon Cortex Machine Learning AI team is seeking an experienced ML Ops Engineer to drive the full lifecycle of machine learning solutions.

Key Responsibilities

• Develop and maintain ML pipelines using MLflow, Kubeflow, or Vertex AI
• Automate model training, testing, deployment, and monitoring across GCP/AWS/Azure
• Implement CI/CD workflows for model lifecycle management
• Monitor model performance and ensure governance compliance
• Support containerized environments and low-latency model APIs
• Utilize AutoML tools for rapid deployment and documentation automation

Qualifications

• 10+ years in Software Engineering & 3+ years in AI/ML Ops
• Strong skills in Java, Python, SQL, and ML libraries
• Experience with Docker, Kubernetes, and cloud platforms
• Familiarity with Airflow, Spark, and ML Ops frameworks
• Strong DevOps and communication skills