Data Analytics Platform Engineer

hace 5 días


Barcelona, Barcelona, España Moody'S A tiempo completo

Moody's CRE is a pioneer in data-driven analytics, providing a cutting-edge platform that empowers agile investment teams and asset managers to make informed decisions. Our SaaS solution offers advanced business intelligence, rent roll analysis, and market analytics, leveraging big data and AI technologies to digitize the industry.

We are seeking a skilled Data Analytics Platform Engineer to join our tech team. As an AI Model Observability Engineer, you will play a critical role in ensuring the stability, reliability, and performance of our existing AI models. Your responsibilities will include:

Monitoring system performance and detecting unusual patterns (hallucinations) that may indicate errors or anomalies.
Maintaining logging infrastructure to capture relevant data for analysis.
Configuring and managing alert systems to detect anomalies and performance degradation.
Analyzing metrics to identify optimization opportunities and scalability challenges.
Proposing and implementing solutions to address performance issues and ensure scalability in system design.

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 work at Moody's?
Opportunity to work at the forefront of AI technology and contribute to impactful projects

The estimated salary for this position is around $120,000 per year, depending on location and experience.



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