Qureos

FIND_THE_RIGHTJOB.

ENGINEER IV - SOFTWARE ENGINEER – AI & DATA SOLUTIONS

JOB_REQUIREMENTS

Hires in

Not specified

Employment Type

Not specified

Company Location

Not specified

Salary

Not specified

SOFTWARE ENGINEER – AI & DATA SOLUTIONS
Location: Colorado Springs, CO (remote working option after 6 months of employment)
Clearance: Active Secret Preferred, not required

OVERVIEW
We are seeking a skilled Software Engineer with strong AI, data, and machine learning capabilities to help design, build, and deploy intelligent solutions that enhance product performance and support data-driven decision-making. This role blends software engineering, data science, and systems-level understanding that is ideal for someone who enjoys solving real-world problems using modern AI technologies.

As part of our engineering team, you will work across the full technical stack: developing ML models, analyzing data, optimizing systems, and contributing to scalable infrastructure. You should be equally comfortable writing high-quality Python code, managing complex technical projects, and explaining your ideas clearly to both technical and non-technical stakeholders.

MINIMUM QUALIFICATIONS
Education:
  • Master of Science in an IT-related field (preferred)
  • Bachelor of Science in an Information Technology field (required)
Experience:
  • Practical experience developing AI, ML, or data-driven software solutions (industry experience required).
  • Hands-on experience with Python programming, SQL, and machine learning workflows.
  • Experience building analytical or ML applications end-to-end—from infrastructure to deployment.
Essential Skills:
  • Programming & Data: Python, SQL, R
  • ML & AI: NLP, EDA, TensorFlow, PyTorch
  • Tools & Libraries: Git, Matplotlib
  • Strong communication and problem-solving abilities
  • Ability to manage complex technical projects
PREFERRED QUALIFICATIONS
  • Scikit-learn, NumPy, Pandas
  • Feature engineering experience
  • Spark
  • Seaborn, Tableau
  • Keras
  • Experience designing or supporting data centers or high-availability server infrastructure
  • Experience working with large datasets or distributed systems
KEY RESPONSIBILITIES
  • Design, develop, and deploy AI/ML solutions that improve product performance and support strategic business needs.
  • Develop reproducible, maintainable code in Python for data pipelines, model training, and application logic.
  • Perform data exploration, analysis, and feature engineering using SQL, Python, and statistical techniques.
  • Build, experiment with, and optimize machine learning and deep learning models (TensorFlow, PyTorch, etc.).
  • Collaborate across teams to translate business requirements into technical solutions.
  • Manage end-to-end project lifecycles, from server setup and infrastructure planning to model deployment.
  • Contribute to system architecture decisions, including cloud environments, data centers, or server-level design.
  • Create clear documentation, visualizations, and presentations for stakeholders.
  • Maintain code quality through version control (Git), testing, and best engineering practices.
SKILLS
  • Someone passionate about AI, data, and building impactful solutions.
  • A strong communicator who can translate technical concepts into clear business language.
  • A proactive problem solver who enjoys exploring data and developing innovative approaches.
  • A technically versatile engineer who can work across infrastructure, data, and application layers.
COMPENSATION AND BENEFITS
  • Salary Range: Starting at $125,000 annually (based on experience and qualifications)
  • Benefits Include:
    • 70% company-paid medical insurance
    • 100% company-paid dental and vision coverage
    • 401(k) plan with company match and profit sharing
    • Company-paid life and AD&D insurance
    • Education assistance program
    • Paid time off (PTO) starting at 15 days accruing annually, increasing with tenure
    • 13 paid holidays annually, including a year-end shutdown
    • And more!

KhBASHKi1T

© 2025 Qureos. All rights reserved.