Lead AI Engineer at Capital One

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering
At least 7 years of experience in machine learning engineering, building data intensive solutions using distributed computing
At least 5 years of 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
At least 5 years of experience with cloud platforms like AWS, Azure, or GCP
At least 7 years of experience in developing performant, resilient, and maintainable code
Preferred: Master’s or doctoral degree in data science/computer science, electrical engineering, mathematics
Preferred: 8+ years of experience in machine learning, particularly in deploying and operationalizing ML models
Preferred: 8+ years of experience building and evaluating agentic solutions
Preferred: Familiarity with container orchestration tools like Kubernetes and Docker
Preferred: Knowledge of data governance

Responsibilities

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

Skills

Key technologies and capabilities for this role

Generative AIMachine LearningObservabilityModel GovernanceDashboardsMetadataMetricsFine-tuningML PlatformsData Science

Questions & Answers

Common questions about this position

What are the basic qualifications for the Lead AI Engineer role?

Candidates need a Bachelor’s or Master’s degree in Computer Science or Engineering, plus at least 7 years of experience in machine learning engineering and building data intensive systems.

Where is this position located?

The role is based in Voyager (94001), India, Bangalore, Karnataka.

What does the MLX team focus on?

The MLX team focuses on observability and model governance automation for generative AI use cases, building solutions for metadata collection, metrics, insights, and an observability platform for models and platform components.

What are the main responsibilities of this role?

Responsibilities include leading design and implementation of observability tools and dashboards, leveraging Generative AI models for anomaly detection and analytics, building APIs and SDKs for LLM observability, staying current on AI trends, and collaborating in an Agile team.

What is the employment type for this position?

This is a full-time position.

Capital One

Offers diverse financial products and services

About Capital One

Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.

McLean, VirginiaHeadquarters

2014Year Founded

$15.9MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Lead AI Engineer at Capital One

Requirements

Responsibilities

Skills

Questions & Answers

Capital One

About Capital One

Benefits

Medical, Dental, & Vision coverage

Onsite Health Centers

Prescription saving with network of local pharmacies

Stock Purchase Plan

Education Assistance

401(k)

Flexible Spending Accounts

Life and Disability insurance

Generous paid time off + corporate & floating holidays

Registered dieticians on site, cooking classes and free virtual fitness classes

Employee Assistance Program

Risks

Increased competition in subscription management tools may dilute Capital One's advantage.

Over-reliance on partnerships could expose Capital One to technological risks.

Departure of key personnel like Joe Rodriguez may affect risk management continuity.

Differentiation

Capital One offers user-friendly banking with no fees or minimums for checking accounts.

The company partners with Khan Academy to provide financial literacy education.

Capital One is the first major U.S. bank to offer subscription management tools.

Upsides

Capital One's mobile app is a model for secure, user-friendly digital banking.

Data sharing with Worldpay enhances payment security and fraud prevention.

Partnerships with fintechs like Minna Technologies improve customer experience.

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