Senior AI/Machine Learning Engineer

This is a fully remote position, open to applicants in Colorado.

📋 Description

• Take ownership of machine learning solutions from start to finish — defining the business problem, analyzing data, training and assessing models, and refining through detailed error analysis — all the way to production deployment and ongoing monitoring.

• Utilize generative AI and large language models where applicable, selecting suitable techniques and adjusting as the field progresses.

• Implement MLOps best practices: continuous integration and continuous deployment (CI/CD) for models, experiment tracking, model and drift monitoring, and responsible AI practices.

• Convert vague business challenges into clearly defined solutions, establishing explicit expectations regarding feasibility, timelines, and trade-offs.

• Act as a reliable technical advisor — delivering demonstrations and recommendations, while clearly communicating models, their limitations, and uncertainties to audiences ranging from engineers to executives.

• Guide and mentor colleagues, collaborating across diverse teams of engineers, data scientists, and designers.

• Quickly adapt to new sectors, tools, and client environments while keeping up with the continually evolving AI landscape.

• Function as a versatile consulting engineer within DevIQ’s delivery framework, offering contributions beyond AI/ML when project demands and team availability necessitate, including related tasks such as discovery, data exploration, data engineering, application development, DevOps, solution documentation, technical analysis, internal tooling, or other client-supporting utility tasks.

⛳️ Requirements

• In-depth knowledge of machine learning.

• 4+ years of experience in building, training, and deploying machine learning models in production — taking full ownership of the modeling process, rather than merely integrating model APIs.

• Strong foundation in modeling principles: defining a problem as a learning task, feature engineering, model selection, and understanding bias/variance, regularization, and overfitting.

• A disciplined approach to evaluation: employing sound train/validation/test methodologies, avoiding data leakage, selecting metrics that align with business objectives, and conducting error analysis to identify reasons for model underperformance.

• Fundamental understanding of deep learning — including architectures, loss functions, and training dynamics — sufficient to build and debug models in PyTorch or TensorFlow, not just to use them.

• Solid grounding in mathematics and statistics (linear algebra, probability, statistics) with the discernment to recognize when machine learning is the appropriate solution versus simpler alternatives.

• Practical experience in AI and engineering: hands-on delivery of LLM/generative AI — retrieval-augmented generation (RAG), embeddings, fine-tuning, and major model APIs (e.g., Anthropic, OpenAI, Bedrock) — with the ability to choose between prompting, retrieval, and fine-tuning.

• Proficient in Python and the contemporary ML stack (PyTorch or TensorFlow, scikit-learn), in addition to solid SQL skills.

• Experience in deploying and monitoring ML workloads on at least one major cloud platform (AWS, Azure, or GCP), encompassing version control, drift monitoring, and retraining.

• Consulting and communication skills: Experience in client-facing roles or consulting, capable of articulating technical trade-offs — including model limitations and uncertainties — to non-technical stakeholders.

• Self-motivated and comfortable navigating ambiguity across multiple projects.

• Willingness and capability to work beyond a strictly defined AI/ML role, contributing to related engineering, data, discovery, DevOps, consulting, and utility tasks as required in a project-based consulting environment.

🏝️ Benefits

• Competitive financial compensation and bonus plans based on utilization.

• Medical, dental, and vision insurance.

• 401k plan with 4% matching.

• Paid time off.

• Health Savings Account (HSA) and Flexible Spending Account (FSA).

• Short-term and long-term disability insurance.

• Business-funded life insurance plan.

• A dynamic yet relaxed work environment.

• A wide array of growth opportunities.