TS/SCI AI & ML Engineer — Build Scalable Systems

Cymertek Corporation

Aurora (CO)

On-site

USD 110,000 - 160,000

Full time

13 days ago

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Benefits offered by this job

Excellent Salaries
Flexible Work Schedule
401k Matching
Profit Sharing
30 days Paid Leave/Holiday
Birthday day off
Medical/Dental/Vision - 100% employee
HSA/FSA
Discretionary Life Insurance
Paid Training
Referral bonus program

Job summary

Cymertek Corporation in Aurora, CO is seeking an AI/ML Engineer to design, develop, and deploy intelligent systems that solve complex problems and enhance business outcomes. You will collaborate with cross-functional teams to identify opportunities for AI applications, build scalable models, and integrate them into our products and services.

The ideal candidate thrives in dynamic environments, demonstrates strong problem-solving skills, and has deep knowledge of machine learning algorithms,

Qualifications

  • Bachelor's degree in CS/AI/ML or related field.
  • Strong knowledge of ML frameworks and algorithms.
  • Experience with data preprocessing and analysis.
  • Experience with deploying AI models at scale.
  • Familiarity with cloud-based AI tools.
  • Understanding of AI ethics and compliance.

Responsibilities

  • Design AI/ML models and architectures.
  • Develop and deploy AI/ML solutions.
  • Collaborate with cross-functional teams to identify AI opportunities.
  • Iterate on model performance and optimization.
  • Ensure compliance with AI ethics and standards.

Skills

Python
TensorFlow
Data preprocessing
Supervised learning
Unsupervised learning
Cloud AI tools
Model debugging

Education

Bachelor's Degree

Job description

Cymertek Corporation in Aurora, CO is seeking an AI/ML Engineer to design, develop, and deploy intelligent systems that solve complex problems and enhance business outcomes. You will collaborate with cross-functional teams to identify opportunities for AI applications, build scalable models, and integrate them into our products and services.

The ideal candidate thrives in dynamic environments, demonstrates strong problem-solving skills, and has deep knowledge of machine learning algorithms,

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