AI/ML Developer C2c jobs San Antonio, TX (Onsite)

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

Position: AI/ML Developer

Location: San Antonio, TX (Onsite) – Locals ONLY

Duration: 8+ Months Contract

Job Description:

AI/ML roles focus on designing, building, and deploying intelligent systems that learn from data to solve complex problems.
Machine Learning Engineers sit between data science and software engineering, writing scalable code to deploy, optimize, and maintain ML models in production.
MLOps Engineers manage the underlying infrastructure, building continuous integration and deployment (CI/CD) pipelines to automate model monitoring, data versioning, and system scaling.

Essential Skills:

• Prompt engineering, Forward-Deployed Engineer, Python, R, C++.
• Mathematics: Linear algebra, calculus, statistics.
• Data Handling: SQL, data preprocessing.
• Frameworks: TensorFlow, PyTorch, Scikit-Learn.
• MLOps: Model deployment, cloud platforms.

Desirable Skills:

• MLOps tools (Docker, Kubernetes, MLflow)
• Data pipeline development (Spark, SQL, Airflow)
• System design and architecture
• Cloud computing platforms (AWS, GCP, Azure)
• Cross-functional communication and storytelling

EXPERIENCE_RANGE_IN_REQUIRED_SKILLS: 7+

Skills: Digital : Machine Learning~Digital : Artificial Intelligence(AI) Experience Required: 8-10

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.