Lead Machine Learning Engineer

Voyager 94001 India Bangalore Karnataka Lead Machine Learning Engineer 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 We re looking for a Lead ML Engineer to join the Machine Learning Experience MLX team As a Capital One Lead Engineer MLE you ll 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 genAI platform And build intelligent and smart solutions to derive deep insights into platform s use-cases 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 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 we re 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 Lead the design and implementation of observability tools and dashboards that provide actionable insights into platform performance and health Leverage Generative AI models and fine tune them to enhance observability capabilities such as anomaly detection predictive analytics and troubleshooting copilot Build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models including training pre-training fine-tuning and prompting Stay abreast of the latest trends in Generative AI platform observability responsible AI and drive the adoption of emerging technologies and methodologies Collaborate as part of a cross-functional Agile team to create and enhance software that enables state of the art next generation gen-ai applications Bring research mindset lead Proof of concept to showcase capabilities of large language models in the realm of observability and governance which enables practical production solutions for improving platform users productivity Basic Qualifications Bachelor s or Master s degree in Computer Science Engineering or related field Atleast 7 years of experience in machine learning engineering building data intensive solutions using distributed computing Hands-on experience with Generative AI models and their application in observability or related areas At least 8 years of experience programming with Python Go or Java At least 5 years of experience with an industry recognized ML framework such as scikit-learn PyTorch Dask Spark or TensorFlow At least 5 years of experience productionizing monitoring and maintaining models Experience with cloud platforms like AWS Azure or GCP Atleast 7 years of experience in developing performant resilient and maintainable code Preferred Qualifications Master s or doctoral degree in data science computer science electrical engineering mathematics or a similar field Experience in machine learning particularly in deploying and operationalizing ML models Familiarity with container orchestration tools like Kubernetes and Docker Knowledge of data governance and compliance particularly in the context of machine learning and AI systems Prior experience in NVIDIA GPU Telemetry and experience in CUDA Contributed to open source ML software Authored co-authored papers patent on ML techniques model or proof of concept 2 Experience in developing applications using Generative AI i e open source or commercial LLMs At this time Capital One will not sponsor a new applicant for employment authorization for this position No agencies please Capital One is an equal opportunity employer EOE including disability vet committed to non-discrimination in compliance with applicable federal state and local laws Capital One promotes a drug-free workplace Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries including to the extent applicable Article 23-A of the New York Correction Law San Francisco California Police Code Article 49 Sections 4901-4920 New York City s Fair Chance Act Philadelphia s Fair Criminal Records Screening Act and other applicable federal state and local laws and regulations regarding criminal background inquiries 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 at 1-800-304-9102 or 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 One s recruiting process please send an email to Capital One does not provide endorse nor guarantee and is not liable for third-party 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