Machine Learning Engineer

• Responsible for the maintenance and project delivery of systems in the artificial intelligence area, including documentation, development of AI applications, integration of AI into existing systems, development of AI infrastructure, data analysis and insights discovery, ongoing maintenance and support, training and enablement, development projects, evolutionary maintenance, adaptive maintenance, data migration, corrective maintenance, special investigations and support.
• Work on product development with a focus on user metrics, experiment design, and identifying improvements; understand user behavior, test features and use predictive models to forecast product success.
• Understand usage patterns, design A/B tests and identify potential areas for product improvement.
• Translate business problems into applicable AI solutions for the product, defining technical approaches and metrics, and supporting the team in prioritization and roadmap planning.
• Collect, clean, structure and validate data to ensure the quality and availability required for model development.
• Build, train, evaluate and document AI/ML models, ensuring performance, robustness and alignment with product use.
• Implement and develop services and APIs that expose AI models in production, ensuring security, performance and good integration with the product.
• Develop and integrate AI microservices into the product ecosystem, ensuring scalability, resilience and compatibility with the existing architecture.
• Create and maintain automated pipelines for versioning, training, validation and continuous deployment of AI models.
• Monitor models in production, detect degradations, investigate incidents and ensure stable operation with fallback mechanisms.
• Conduct experiments and continuous tuning to improve model impact and enhance user experience.
• Containerize and orchestrate AI services in the cloud, ensuring efficient, scalable environments and cost best practices.
• Collaborate in agile routines, perform code reviews and produce clear technical documentation that supports the evolution of AI services.

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