Voyager (94001), India, Bangalore, KarnatakaPrincipal Associate Machine Learning Engineer (GEN AI)
To join the Machine Learning Experience (MLX) team!
As a Capital One Machine Learning Engineer (MLE), you'll be part of a team focusing on generative AI observability. In this role, you will work on pioneering technologies that ensure the robustness, reliability, and performance of our generative AI models. Your contributions will directly impact the scalability and success of our AI-driven products.
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
Analyze and optimize model performance, latency, and resource utilization to maintain high standards of efficiency, reliability and compliance
Basic Qualifications:
At least 2 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, CUDA, Keras, Spark, or TensorFlow.
Preferred Qualifications:
1+ years of experience building, scaling, and optimizing ML systems.
2+ years of experience developing performant, resilient, and maintainable code.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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.
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