Security-Cleared ML Engineer — AI Systems & Cloud

Cymertek Corporation; San Antonio (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Work Schedule

401k Matching

Paid Leave

Medical/Dental/Vision coverage

Career development

Job summary

Cymertek Corporation is seeking a Machine Learning Engineer to design, develop, and deploy models that power intelligent systems. You will collaborate with data scientists, engineers, and product teams to translate data into actionable insights and scalable ML solutions.

The role requires strong ML fundamentals, cloud experience, and the ability to work on complex datasets. On-site in San Antonio, TX with competitive compensation and benefits.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, AI, Mathematics, Statistics, or related field.
• Proficiency in Python, R, or Java for ML model development.
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn.
• Strong background in data preprocessing and feature engineering.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Experience with version control (Git) and data visualization tools.

Responsibilities

• Design, develop, and deploy ML models to solve business problems.
• Collaborate with data scientists, engineers, and product teams.
• Work with large, complex datasets and optimize data pipelines.
• Evaluate model performance using robust metrics and experiments.
• Deliver scalable machine learning solutions on cloud platforms.

Skills

Python

R

Java

TensorFlow

PyTorch

Scikit-learn

Model evaluation

Git

Data visualization

SQL

NoSQL

Education

Bachelor's degree

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Cymertek Corporation is seeking a Machine Learning Engineer to design, develop, and deploy models that power intelligent systems. You will collaborate with data scientists, engineers, and product teams to translate data into actionable insights and scalable ML solutions.

The role requires strong ML fundamentals, cloud experience, and the ability to work on complex datasets. On-site in San Antonio, TX with competitive compensation and benefits.