Software Engineer III

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 role focuses on leveraging internal operations data to support multiple legal and compliance-focused teams through scalable ML solutions.

Responsibilities:

• 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
• 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
• 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

Requirements:

• 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
• 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