Engineer IV - Software Engineer Ai & Data Solutions at Integrity Communications Solutions

Software Engineer – AI & Data SolutionsLocation: Colorado Springs, CO (remote working option after 6 months of employment)Clearance: Active Secret Preferred, not requiredOVERVIEWWe 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 QUALIFICATIONSEducation: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, RML & AI: NLP, EDA, TensorFlow, PyTorchTools & Libraries: Git, MatplotlibStrong communication and problem-solving abilitiesAbility to manage complex technical projectsPREFERRED QUALIFICATIONSScikit-learn, NumPy, PandasFeature engineering experienceSparkSeaborn, TableauKerasExperience designing or supporting data centers or high-availability server infrastructureExperience working with large datasets or distributed systemsKEY RESPONSIBILITIESDesign, 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.SKILLSSomeone 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 BENEFITSSalary Range: Starting at $125,000 annually (based on experience and qualifications)Benefits Include:70% company-paid medical insurance100% company-paid dental and vision coverage401(k) plan with company match and profit sharingCompany-paid life and AD&D insuranceEducation assistance programPaid time off (PTO) starting at 15 days accruing annually, increasing with tenure13 paid holidays annually, including a year-end shutdownAnd more!