Onsite AI/ML Engineer in San Antonio — ML Ops & Deployment

Tech Mirrors; San Antonio (TX); On-site; USD 96,000 - 165,000; Full time

Job summary

Tech Mirrors is seeking an AI/ML Developer to design, build, and deploy scalable ML systems from data to production. You will bridge data science and software engineering, writing robust Python and C++ code, and optimize models for real-world use.

The role emphasizes MLOps responsibilities, CI/CD pipelines, and cloud-based deployment across a fast-moving team in a onsite San Antonio setting.

Qualifications

• Bachelor's degree in CS or closely related field is required.
• 8-10 years of AI/ML experience preferred, with practical production work.

Responsibilities

• Design, build, and deploy ML systems and models.
• Develop scalable Python/C++ code for production ML pipelines.
• Collaborate with data scientists and software engineers on solutions.

Skills

Prompt engineering

Forward-Deployed Engineer

Python

R

C++

Mathematics

Data handling

SQL

TensorFlow

PyTorch

Scikit-Learn

MLOps

Education

Bachelor's degree in CS or related field

Tools

Docker

Kubernetes

MLflow

Spark

Airflow

AWS

GCP

Azure

Job description

Tech Mirrors is seeking an AI/ML Developer to design, build, and deploy scalable ML systems from data to production. You will bridge data science and software engineering, writing robust Python and C++ code, and optimize models for real-world use.

The role emphasizes MLOps responsibilities, CI/CD pipelines, and cloud-based deployment across a fast-moving team in a onsite San Antonio setting.