Machine Learning Engineer - Build Real-World AI Solutions

Cymertek Corporation; Aurora (CO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Work Schedule

401k Matching

Paid Leave

Job summary

Cymertek Corporation in Aurora, Colorado is seeking a Machine Learning Engineer to design, develop, and deploy intelligent models that solve real-world problems. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and scalable solutions that improve decision making.

The ideal candidate has strong programming skills in Python (with R and Java as options), hands-on experience with TensorFlow or PyTorch, and a solid grasp of model

Qualifications

• Bachelor's degree in a related field (CS, Data Science, AI, Math, Statistics, Software Engineering, Electrical Engineering)
• Proven ability to develop and deploy ML models
• Experience with ML frameworks (TF, PyTorch) and data pipelines

Responsibilities

• Design, develop, and deploy ML models and workflows
• Work with large, complex datasets and preprocessing pipelines
• Collaborate with data scientists, engineers, and product teams to turn data into actionable insights
• Evaluate model performance using established metrics and drive improvements
• Maintain version control and reproducible experiments
• Develop data visualization and reporting to communicate results

Skills

Python programming

R programming

Java programming

TensorFlow

PyTorch

Scikit-learn

Model evaluation

Git

Data visualization

SQL

NoSQL

Education

Bachelor's degree

Tools

Docker

Kubernetes

Job description

Cymertek Corporation in Aurora, Colorado is seeking a Machine Learning Engineer to design, develop, and deploy intelligent models that solve real-world problems. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and scalable solutions that improve decision making.

The ideal candidate has strong programming skills in Python (with R and Java as options), hands-on experience with TensorFlow or PyTorch, and a solid grasp of model