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