Capital One India
banking
DistinguishedAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Distinguished AI Engineer at Capital One India. Skills: AI, ML, foundation model training, large language model inference, LLM optimization techniques, Python, PyTorch, AWS. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model e”
What You'll Achieve.
deliver AI-powered products that change how our associates work and how our customers interact with Capital One; deliver value to millions of customers; enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact; achieve business goals
Industry & Context.
thrive on bringing clarity to big, undefined problems; digging deep to uncover the root of problems
No sponsorship for employment authorization
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, At least 15 years of experience in software engineering or solution architecture, At least 10 years of experience designing and building data intensive solutions using distributed computing, At least 8 years of experience programming with Python, Go, or Java, At least 6 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
Nice to Have
Master’s Degree or PhD in Computer Science, Electrical Engineering, Mathematics, 5+ years of experience building, scaling, and optimizing ML systems, 5+ years of experience with data gathering and preparation for ML models, 10+ years of experience developing performant, resilient and maintainable code, Experience developing and deploying ML solutions in a public cloud such as AWS, Azure or Google Cloud Platform, 5+ years of experience with distributed file systems or multi-node database paradigms, Contributed to open source ML software, Authored/co-authored a paper on a ML technique, model or proof of concept, 5+ years of experience building production-ready data pipelines that feed ML models, Experience in designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance, 5+ years of experience in ML Ops either using open source tools like ML Flow or commercial tools, 2+ Experience in developing applications using Generative AI i. e open source or commercial LLMs
What You'll Do.
Partner with a cross-functional team of engineers
technical program managers
and product managers to deliver AI-powered products
and support AI software components including foundation model training
large language model inference
Leverage a broad stack of Open Source and SaaS AI technologies
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability
throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers; work hand-in-hand with our partners across the company
Communication Scope
articulate your findings concisely with clarity; share new ideas
Full Job Description
Voyager (94001), India, Bangalore, Karnātaka Distinguished 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:**** * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support
Applying for this Distinguished AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Capital One India?
Real rants from real employees. Read before you apply.