Principal Associate- Fullstack Engineering

4 - 8 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Principal Associate, Full Stack Engineer at Capital One, you will be part of the Machine Learning Experience (MLX) team focusing on observability and model governance automation for cutting-edge generative AI use cases. Your role will involve building solutions to collect metadata, metrics, and insights from the large-scale genAI platform. You will work on developing intelligent solutions to gain deep insights into the platform's performance and compliance with industry standards. **Key Responsibilities:** - Lead the design and implementation of observability tools and dashboards to provide actionable insights into platform performance and health. - Utilize Generative AI models to enhance observability capabilities, including anomaly detection, predictive analytics, and troubleshooting copilot. - Develop well-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models. - Collaborate with model and platform teams to ingest metadata and runtime metrics for building an observability platform and ensuring ethical use and compliance with industry standards. - Partner with product and design teams to integrate advanced observability tools tailored to Gen-AI. - Work in a cross-functional Agile team to understand requirements and translate them into scalable solutions. - Conduct Proof of Concept to showcase capabilities of large language models in observability and governance. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Minimum 4 years of experience in designing and building data-intensive solutions with a deep understanding of microservices architecture. - Minimum 4 years of programming experience with Python, Go, or Java. - Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, with a focus on adapting them for Gen AI systems. - Hands-on experience with Generative AI models and cloud platforms like AWS, Azure, or GCP. If you have any further questions about the job role, feel free to reach out to Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.,

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Capital One

Financial Services

McLean Va

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