Machine Learning Engineer: Build Scalable AI Models

Cymertek Corporation; Maryland; On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

401k matching

Paid leave

Medical/dental/vision coverage

Paid Training

Flexible work schedule

Competitive salaries

Job summary

Cymertek Corporation is seeking a Machine Learning Engineer to design, develop, and deploy advanced ML models in a dynamic, security-conscious environment. The role involves collaborating with data scientists, engineers, and product teams to transform data into scalable, real-world solutions.

You'll work with Python and ML frameworks on cloud platforms, handling large datasets, optimizing models, and contributing to end-to-end AI initiatives in a fast-paced federal contracting context.

Qualifications

• Bachelor's degree required in a relevant field (CS, data science, AI, math, stats, software engineering).
• 4+ years of hands-on ML experience preferred; strong problem solving and data-driven mindset.
• Experience with ML model development, evaluation, and deployment across cloud platforms.

Responsibilities

• Design, develop, and deploy ML models and workflows.
• Work with large, complex datasets and perform feature engineering.
• Collaborate with data scientists, engineers, and product teams to operationalize models.

Skills

Python

R

Java

TensorFlow

PyTorch

Scikit-learn

SQL

Git

Cloud platforms

Education

Bachelor's Degree

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Docker

Kubernetes

AWS

GCP

Azure

Job description

Cymertek Corporation is seeking a Machine Learning Engineer to design, develop, and deploy advanced ML models in a dynamic, security-conscious environment. The role involves collaborating with data scientists, engineers, and product teams to transform data into scalable, real-world solutions.

You'll work with Python and ML frameworks on cloud platforms, handling large datasets, optimizing models, and contributing to end-to-end AI initiatives in a fast-paced federal contracting context.