AI Model Observability Engineer

hace 2 semanas

Barcelona, Barcelona, España Moody'S A tiempo completo
AI Model Observability Engineer

At Moody's, we strive to create an inclusive environment where everyone feels welcome to be who they are. We are seeking a self-driven and passionate developer to join our tech team as an AI Model Observability Engineer.

Responsibilities:
Monitor system performance and detect unusual patterns that may indicate errors or anomalies. Develop and implement systems for tracking AI model performance and behavior. Maintain logging infrastructure to capture relevant data for analysis. Configure and manage alert systems to detect anomalies and performance degradation. Analyze metrics to identify optimization opportunities and scalability challenges. Propose and implement solutions to address performance issues and ensure scalability in system design. Ensure consistency of data across different releases to maintain model integrity.

Requirements:
Bachelor's degree in Computer Science, Engineering, or related field. Proven experience in AI model development and maintenance. Strong proficiency in programming languages such as Python, Langchain, Langsmith. Familiarity with cloud platforms such as AWS, Azure, etc. Experience with QA automation and DevOps practices. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Why Moody's:
Opportunity to work at the forefront of AI technology and contribute to impactful projects. We are a data-driven analytics platform that supports agile investment teams, asset/portfolio managers, banks, and brokers. Our SaaS solution offers vertical business intelligence, atomised rent roll analysis, and market analytics applying state-of-the-art big data and AI technologies. The platform makes holistic market data instantly accessible, creates transparency, and thereby digitises the industry.

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