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Job Summary:
The Machine Learning Platform Engineer will work closely with our AI and gaming technology teams to design, build, and scale a robust platform for machine learning model training and online inference services. This role involves developing ML Ops processes that integrate cutting-edge AI capabilities into our gaming products, improving automation, scalability, and reliability in our ML workflows. You will be part of an agile team that values innovation, code quality, and continuous learning.
Key responsibilities include:
- Participate in the architecture design and software development of our AI platform.
- Implement and optimize ML Ops workflows to support production-grade AI services.
- Collaborate with cross-functional teams to deliver seamless ML solutions from data ingestion to deployment.
- Research and adopt new technologies that enhance platform performance and capabilities.
Job Requirements:
Job ID: 147331965
Skills:
Machine Learning, Sql, MLops, Docker, XGBoost, Kubernetes, Python, AWS, scikit-learn, LightGBM, MLflow, DVC
Skills:
Machine Learning, Statistical Modelling, Sql, Docker, XGBoost, Predictive Analytics, Kubernetes, Python, AWS, scikit-learn, LightGBM, Seldon, DVC, MLFlow, Metaflow, BentoML, MLOps tools
Skills:
production deployment , Machine Learning, Apis, Networking Concepts, Databases, MLops, Software Engineering, Backend Systems, Feature Engineering, Data Preprocessing, Model Training, Service Components
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