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hace 1 mes
At Moody's, we strive to create an environment where innovation thrives and everyone feels empowered to contribute. Our data-driven analytics platform supports agile investment teams, asset/portfolio managers, banks, and brokers.
We are seeking a self-driven and passionate developer to join our tech team as an AI Model Observability Engineer. In this role, you will play a critical part in ensuring the stability, reliability, and performance of our existing AI models.
The ideal candidate will have a unique blend of AI engineering expertise, QA automation skills, and DevOps knowledge. Your responsibilities will include maintaining the stability and functionality of current AI models, monitoring system performance, detecting anomalies, and implementing solutions to address bottlenecks and maintain data consistency.
To excel in this position, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field. You will need proven experience in AI model development and maintenance, strong proficiency in programming languages such as Python, Langchain, Langsmith, familiarity with cloud platforms like AWS, Azure, and experience with QA automation and DevOps practices.
We offer a competitive compensation package, including opportunities for professional development and career advancement. If you are passionate about leveraging AI to drive meaningful improvements, thrive in a challenging yet rewarding environment, and value continuous learning and growth, we encourage you to apply for this exciting opportunity.
Moderate your technical debt and improve efficiency by streamlining processes. Explore ways to optimize performance and scalability in system design. Develop and implement systems for tracking AI model performance and behavior. Create and maintain datasets and prompts for analyzing application behavior. Ensure consistency of data across different releases to maintain model integrity.
Estimated Salary: $140,000 - $180,000 per year, depending on location and experience.
