Deviq
Senior AI/Machine Learning Engineer
Denver, CO, United States · Senior · Full-time
Work authorization required$140k-$170kDetected 38 days ago
PythonDatabricksAWSGCPAzureCI/CDDevOpsMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData EngineeringNLPComputer VisionLLMsRAGMLOpsStatisticsForecastingResearchCommunicationPublic Speaking
About the role
- This is a consulting role that blends hands-on engineering, applied AI/ML expertise, and client-facing advisory work.
- Success in this role depends as much on communication, empathy, and professionalism as it does on technical depth.
Responsibilities
- Own ML solutions end to end - framing the business problem, exploring data, training and evaluating models, and iterating based on rigorous error analysis - through to production deployment and monitoring
- Mentor teammates and collaborate across multi-disciplinary teams of engineers, data scientists, and designers
- 4+ years building, training, and deploying ML models in production - owning the modeling work, not just integrating model APIs.
- Experience supporting pre-sales efforts (solution design, scoping, and estimating)
Requirements
- Willingness and ability to work beyond a narrowly defined AI/ML role, contributing to adjacent engineering, data, discovery, DevOps, consulting, and utility activities as needed in a project-based consulting environment.
- Experience with Databricks, lakehouse architectures, or large-scale data engineering workflows
Nice to have
- Hands-on LLM/generative-AI delivery - RAG, embeddings, fine-tuning, and major model APIs (e.g., Anthropic, OpenAI, Bedrock) - with judgment to choose between prompting, retrieval, and fine-tuning.
- Strong Python and the modern ML stack (PyTorch or TensorFlow, scikit-learn), plus solid SQL.
- Experience deploying and monitoring ML workloads on at least one major cloud (AWS, Azure, or GCP), including versioning, drift monitoring, and retraining.
Skills
- Translate ambiguous business problems into well-scoped solutions, setting clear expectations on feasibility, timelines, and trade-offs
- Adapt quickly to new industries, tools, and client environments while staying current with the evolving AI landscape
Compensation
- $140,000-$170,000*
- Disclaimer: In accordance with Colorado's Equal Pay for Equal Work Act, effective January 1, 2021, a good faith hourly or base salary range must be posted for all positions where the work may be performed in the state of Colorado.
- Therefore, this good faith salary range will only apply where this described position will be performed in the state, and should not be considered the compensation range in other locations or for other positions.
- Competitive financial compensation and utilization bonus plans
Benefits
- Depth in one or more ML domains - e.g., NLP, computer vision, time-series forecasting, or recommender systems
- Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent practical experience
- Machine learning depth
- Strong modeling fundamentals: framing a problem as a learning task, feature engineering, model selection, and reasoning about bias/variance, regularization, and overfitting.
- Deep learning fundamentals - architectures, loss functions, training dynamics - enough to build and debug models in PyTorch or TensorFlow, not just call them.
- DevIQ Benefits Include:
- Medical, Dental, Vision Insurance
- Health Savings Account (HSA)/Flexible Spending Account (FSA)
Visa & Work Authorization
- citizen or eligible to work in the U
This listing is sourced directly from Deviq's careers page and normalized into a canonical job model.