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Full-time
bachelor degree, postgraduate degree
Posted 12h ago
Apply by Aug 21
~40 hrs/week
Responsibilities
You will lead the development and deployment of advanced ML/NLP solutions, including generative AI and agentic workflows, to enhance banking products. Additionally, you will drive the technical vision for MLOps and establish standardized frameworks for model serving, monitoring, and reliability.
Requirements
The role requires at least 8 years of experience in machine learning and NLP, with a minimum of 5 years specifically in engineering and deploying production AI systems. Candidates must possess a bachelor's degree in Computer Science or Engineering and demonstrate proficiency in PyTorch, Hugging Face, and LLM application development.
Full job description
Voyager (94001), India, Bangalore, KarnātakaLead AI Engineer
At Capital One India, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
In this role, you will:
Lead and deliver ML/NLP solutions in production environments
Leverage LLMs to drive and enhance ML/DS workflows
Design and implement Retrieval-Augmented Generation pipelines covering chunking, embedding, retrieval and re-ranking
Build, orchestrate and evaluate AI agents with tool use and multi-step reasoning
Define and execute evaluation frameworks for generative AI systems
Optimize token usage and context window management for cost and performance
Train, fine-tune, and serve embedding models for semantic search and retrieval
Build and fine-tune transformer-based models for classification, extraction, summarization, and generation
Own productionization of ML/AI systems including serving, monitoring and reliability
Drive technical direction & spearhead the technical vision and MLOps strategy, establishing standardized frameworks for model deployment, monitoring and automated retraining
Basic Qualifications
Bachelor's Degree in Computer Science or Engineering
At least 8 years of experience in traditional machine learning algorithms, advanced natural language processing , model selection and the machine learning experimentation lifecycle including baseline modeling, iterative improvement and offline or online evaluation
At least 5 years of experience engineering and deploying production machine learning and AI systems, including high-throughput model serving, continuous integration and delivery for machine learning, latency optimization and continuous drift monitoring
At least 3 years of experience leveraging PyTorch, Hugging Face Transformers, and LangGraph to develop deep learning models and agentic workflows
At least 3 years of experience developing, fine-tuning, and serving embedding models using sentence-transformers and modern representation learning stacks
At least 2 years of experience in Large Language Model application development, specializing in advanced prompt engineering, model chaining architectures, and external tool integration
Preferred Qualifications
Master’s Degree in Computer Science or Engineering
3+ years of experience applying statistics, probability theory and experimental design, including hypothesis testing, A/B testing frameworks and causal inference methodologies
3+ years of experience in agentic search and multi-step LLM driven query planning
2+ years of experience architecting and optimizing retrieval pipelines using bi-encoders, cross-encoders and hybrid search techniques like dense and sparse
2+ years of experience in fine-tuning pipelines like LoRA, QLoRA & PEFT
1+ years of experience designing and implementing AI evaluation frameworks using platforms such as RAGAS and DeepEval, alongside custom quantitative metrics
1+ years of experience working with transformer architectures across encoder and decoder paradigms, including BERT, GPT, Llama, and Mistral
1+ years of hands-on experience designing and orchestrating multi-agent frameworks and stateful agentic memory architectures while leveraging AI-powered coding environments like CrewAI, Claude Code, and OpenAI Codex
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 [email protected]. 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 [email protected]
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).
Related keywords
Machine LearningNatural Language ProcessingLLMRetrieval-Augmented GenerationMLOpsPyTorchHugging FaceLangGraphSentence-transformersTransformerEmbeddingPrompt EngineeringAgentic WorkflowsSemantic SearchRAGASDeepEval
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.
Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/
Offices: 1680 Capital One Drive, McLean, Va 22102, US · 8020 Towers Crescent Dr, Vienna, VA 22182, US · 2 Bethesda METRO Center, Bethesda, MD 20814, US
Business BankingFinanceBankingAutomotiveCredit CardsEnterpriseFinTechB2BFinancial ServicesBig Data
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.
Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/
Offices: 1680 Capital One Drive, McLean, Va 22102, US · 8020 Towers Crescent Dr, Vienna, VA 22182, US · 2 Bethesda METRO Center, Bethesda, MD 20814, US
Business BankingFinanceBankingAutomotiveCredit CardsEnterpriseFinTechB2BFinancial ServicesBig Data