Machine Learning Engineer
Keystone Recruitment
Job Overview
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Job Description
About the Role
Keystone Recruitment is seeking an experienced Machine Learning Engineer to apply advanced expertise in AI, statistics, and large-scale data systems to solve complex operational challenges. This 100% remote 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
This 100% remote position offers a collaborative, data-driven engineering culture within Keystone Recruitment, with opportunities to build high-impact ML systems supporting enterprise operations globally. The company's base is in Ann Arbor, MI.
Key skills/competency
- Machine Learning
- AI Development
- Statistical Modeling
- Data Engineering
- ML Pipelines
- Python Programming
- TensorFlow/PyTorch
- Cloud Infrastructure
- MLOps
- Data Analysis
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 resume for ML roles: Customize your resume to highlight experience in machine learning, data pipelines, Python, and MLOps, using keywords from the job description.
- Showcase production ML expertise: Provide clear examples of designing, deploying, and maintaining ML systems in a production environment.
- Prepare for technical assessments: Practice advanced coding challenges in Python, focusing on machine learning algorithms, data structures, and pipeline design.
- Demonstrate cross-functional communication: Be ready to discuss how you've translated complex technical concepts for non-technical stakeholders in past roles.
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