Machine Learning Engineer
Keystone Recruitment
Job Overview
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Job Description
About the Role
We are seeking an experienced Machine Learning Engineer to apply advanced expertise in AI, statistics, and large-scale data systems to solve complex operational challenges. This role focuses on leveraging internal operations data to support multiple legal and compliance-focused teams through scalable ML solutions.
The ideal candidate has deep experience designing, deploying, and maintaining machine learning pipelines in production environments and thrives in data-intensive, cross-functional settings.
Key Responsibilities
Machine Learning & AI Development
- Design, build, and deploy scalable machine learning models
- Apply statistical modeling and AI techniques to solve real-world operational problems
- Conduct data exploration, feature engineering, and performance optimization
- Evaluate model accuracy, robustness, and business impact
ML Pipeline & Data Engineering
- Architect and maintain end-to-end ML pipelines
- Design, deploy, and monitor large-scale data processing systems
- Ensure reliability, scalability, and maintainability of production workflows
- Optimize model serving and deployment processes
Cross-Functional Collaboration
- Partner with legal, compliance, and operations stakeholders
- Translate business requirements into technical ML solutions
- Communicate findings, model performance, and insights clearly to non-technical teams
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or related quantitative field
- 5+ years of experience designing, deploying, and maintaining machine learning pipelines
- 5+ years of experience building and managing large-scale data pipelines
- Demonstrated success applying ML algorithms to real-world business problems
- Strong foundation in statistics, data analysis, and AI techniques
- Experience working in production-grade ML systems
Preferred Qualifications
- Experience supporting legal, compliance, or operational analytics teams
- Familiarity with MLOps practices and model monitoring frameworks
- Strong programming skills in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with cloud-based data infrastructure
Work Environment
Based in Ann Arbor, MI
Collaborative, data-driven engineering culture
Opportunity to build high-impact ML systems supporting enterprise operations
Equal Opportunity Statement
We are an equal opportunity employer and consider all qualified applicants without regard to legally protected characteristics. Qualified applicants with arrest and conviction records will be considered in accordance with applicable laws, including the California Fair Chance Act and related ordinances. Reasonable accommodations are available upon request.
Key skills/competency
- Machine Learning Development
- AI Techniques
- ML Pipeline Architecture
- Data Engineering
- Python Programming
- TensorFlow/PyTorch
- Scikit-learn
- MLOps Practices
- Statistical Modeling
- Cloud Data Infrastructure
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your Machine Learning Engineer resume: Highlight experience in ML pipeline design, deployment, and data engineering.
- Showcase ML and data expertise: Emphasize projects involving production-grade ML systems and AI solutions.
- Prepare for technical and behavioral interviews: Focus on ML algorithms, data structures, system design, and collaborative problem-solving.
- Demonstrate business impact: Articulate how your ML solutions deliver tangible value to operational or compliance teams.
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