Lead Machine Learning Engineer

Voyager (94001), India, Bangalore, Karnataka

Lead Machine Learning Engineer

Lead Machine Learning Engineer (Gen AI)

Generative AI Observability & Governance for ML Platform

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!

• 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.

• 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.

• 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.