Senior Lead Machine Learning Engineer
Senior Lead Machine Learning Engineer
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Job Description
At Capital One India we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics data science and machine learning we derive valuable insights about product and process design consumer behavior regulatory and credit risk and more from large volumes of data and use it to build cutting edge patentable products that drive the business forward.
Were looking for a Senior Lead Engineer to join the Machine Learning Experience (MLX) team! As a Capital One Senior Lead Engineer youll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata metrics and insights from the large scale Gen AI platform. And build intelligent and smart solutions to derive deep insights into platforms usecases performance and compliance with industry standards.
You will contribute to building a system to do this for Capital One models accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components.
The MLX team is at the forefront of how Capital One builds and deploys wellmanaged 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 were 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 nextgeneration MLdriven products and services for our customers.
What Youll Do:
Architect and develop full stack solutions for monitoring logging and managing Generative AI machine learning workflows and models.
Architect build and deploy wellmanaged core APIs and SDKs for observability of LLMs and proprietary Foundation Models including training pretraining finetuning 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 GenAI.
Partner with product and design teams to develop and integrate advanced observability tools tailored to GenAI.
Leverage cloudbased 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 crossfunctional 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
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 crossfunctional initiatives.
Experience developing and deploying ML platform solutions in a public cloud such as AWS Azure or Google Cloud Platform.
If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting ator via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital Ones recruiting process please send an email to
Capital One does not provide endorse nor guarantee and is not liable for thirdparty products services educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Required Experience:
Senior IC
Employment Type
Full-Time
