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# Senior Machine Learning Engineer

- **Company:** DATA AND ML LLC
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $207,000.0 - $244,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Code Generation, Continuous Integration, Data Transformation, Information Extraction, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Ruby, Microsoft Copilot, Software Construction, Large Language Models, Snowflake, Prompt Engineering, Pyspark, Information Technology, Machine Learning Operations, Claude, Invoking Functions, Api Management
- **Published:** October 14, 2026
- **Apply:** https://www.dice.com/job-detail/62ec5a25-a177-4276-a40c-4b46f8d6f6e4

## About the Role

* A Bachelor's or Master's degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
 * 6+ years building software professionally, with at least 2 of those building ML systems that run in production
 * Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
 * You've built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
 * Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
 * You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don't ship it
 * An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Nice to have

 * Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
 * Background in document processing, OCR, or information extraction
 * Experience with PySpark or large-scale data processing
 * Ruby experience (Checkr's platform runs on Rails)
 * Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
 * Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools

Pay Transparency Disclosure

## Description

* Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.
 * Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.
 * Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don't wait for perfect.
 * Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr's agentic platform. The expectation is that our teams operate AI-first.