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Capital One
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Senior Lead- AI Engineer

Senior Lead- AI Engineer

Capital One

12 - 17 years

30 - 35 Lacs

bengaluru

Posted:5 days ago| Platform:

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Skills Required

computer science solution architecture process design san metadata machine learning scala agile technical support python

Work Mode

Work from Office

Job Type

Full Time

Job Description

The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features
We onboard and educate associates on the ML platforms and products that the whole company uses We drive new innovation and research and we re working to seamlessly infuse ML into the fabric of the company The ML experience were creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers

What You ll Do:
Architect and develop full stack solutions for monitoring, logging, and managing Generative AI , machine learning workflows and models Architect, build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Foundation Models including training, pre-training, fine-tuning and prompting Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI

Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI
Leverage cloud-based architectures and technologies to deliver solutions for platform users providing deep insights into model performance, data flow, and system health Collaborate as part of a cross-functional Agile team, data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions Use programming languages like Python, Scala, or Java

Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code

Basic Qualifications:
Masters Degree in Computer Science or a related field Minimum 12 years of experience in software engineering and solution architecture At least 8 years of experience designing and building data intensive solutions using distributed computing At least 8 years of experience programming with Python, Go, or Java Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs

Excellent communication skills, capable of articulating complex technical concepts to diverse audiences and driving cross-functional initiatives
Experience developing and deploying ML platform solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

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Capital One

Financial Services

McLean Va

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Senior Lead- AI Engineer