Master Works is seeking a Machine Learning Engineer to design, build, deploy, and scale machine learning models. The role requires strong hands-on experience in transforming models into production-ready solutions.
Requirements
- Design, develop, train, optimize, and deploy machine learning models for real-world business use cases.
- Translate business and product requirements into scalable ML and AI solutions.
- Implement feature engineering, model selection, tuning, validation, and evaluation techniques.
- Develop and deploy ML models into production environments with high availability, scalability, and performance.
- Monitor model performance, data drift, and model decay, and support retraining and optimization activities.
- Collaborate with Data Scientists, Product Managers, Software Engineers, and Data Engineers across cross-functional teams.
- Support the development and maintenance of high-quality and reliable data pipelines.
- Participate in architecture discussions, design reviews, and code reviews following engineering best practices.
- Optimize models for latency, throughput, scalability, and operational cost efficiency.
- Implement experimentation and evaluation frameworks including A/B testing and offline evaluations.
- Apply Responsible AI principles including fairness, explainability, governance, and model transparency where applicable.
