Senior AI/Machine Learning Engineer
$140,000–$170,000 year
Remote · Denver, Colorado, United States
Job Summary
Senior AI/Machine Learning Engineer needed for a consulting role at DevIQ to design, build, and deploy end-to-end ML/AI solutions for client projects. Responsibilities include framing business problems, data exploration, model training and evaluation, production deployment, and monitoring; applying generative AI/LLMs; establishing MLOps practices (CI/CD, experiment tracking, drift monitoring, responsible-AI); translating ambiguous problems into well-scoped solutions; presenting demos and recommendations to engineers and executives; mentoring teammates; and collaborating across multidisciplinary teams. Requirements include 4+ years of production ML experience, strong modeling and evaluation discipline, deep learning proficiency in PyTorch or TensorFlow, solid math/stats, hands-on experience with LLMs, Python and SQL, and cloud ML deployment experience. Preferred: Databricks/lakehouse, pre-sales/support experience, domain depth, research/open-source contributions; Bachelor’s or Master’s degree in CS/ML or equivalent practical experience. Salary range posted for Colorado: $140,000-$170,000. Benefits include health insurance, 401k with match, PTO, HSA/FSA, disability and life insurance, and growth opportunities. Remote option available in addition to a Denver studio location.
Required Qualifications
- 4+ years building, training, and deploying ML models in production
- Strong modeling fundamentals
- Rigorous evaluation discipline
- Deep learning with PyTorch or TensorFlow
- Math/stats foundation
- Hands-on LLM/generative-AI delivery
- Python and ML stack (PyTorch/TensorFlow, scikit-learn)
- Experience deploying ML on cloud (AWS/Azure/GCP)
- Client-facing/consulting experience
- Willingness to work beyond AI/ML role
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