Senior Lead- Machine Learning Engineering

As a Senior Lead Engineer in the Machine Learning Experience (MLX) team at Capital One India, you will be an integral part of a dynamic team focused on observability and model governance automation for cutting-edge generative AI use cases. Your role will involve architecting and developing full-stack solutions to monitor, log, and manage generative AI and machine learning workflows and models. You will collaborate with model and platform teams to create systems that collect metadata and insights to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI. In this role, you will work on building core APIs and SDKs for observability of LLMs and proprietary Foundation Models, including training, pre-training, fine-tuning, and prompting. Leveraging your expertise in observability tools such as Prometheus, Grafana, ELK Stack, or similar, you will adapt them for Gen AI systems. Your responsibilities will also include partnering with product and design teams to develop advanced observability tools tailored to Gen-AI and using cloud-based architectures and technologies to deliver solutions that provide deep insights into model performance, data flow, and system health. Additionally, you will collaborate with cross-functional Agile teams, data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions. Your role will involve using programming languages like Python, Scala, or Java, as well as applying continuous integration and continuous deployment best practices to ensure successful deployments of machine learning models and application code. To be successful in this role, you should have a Master's Degree in Computer Science or a related field, along with a minimum of 12 years of experience in software engineering and solution architecture. You should also possess at least 8 years of experience in designing and building data-intensive solutions using distributed computing, as well as programming experience with Python, Go, or Java. Proficiency in observability tools and Open Telemetry, as well as excellent communication skills to articulate complex technical concepts to diverse audiences, are essential for this position. Moreover, experience in developing and deploying ML platform solutions in public cloud environments such as AWS, Azure, or Google Cloud Platform will be advantageous. If you are passionate about leveraging advanced analytics, data science, and machine learning to drive business innovation and are looking to be part of a team that is at the forefront of ML model management and deployment, we encourage you to apply for this exciting opportunity at Capital One India.,