Chief Data Scientist

2 days ago


belgaum, India beBeeMachineLearning Full time

Job OpportunityCome and be part of a pioneering effort to merge AI with fintech. Our organization is committed to automating financial processes, ensuring that lenders can make informed decisions with confidence.We trust our AI-powered data and analytics platform at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating cutting-edge AI models with our human-in-the-loop verification engine, we capture data from financial documents with high accuracy. This enables our customers to achieve greater efficiency in risk management and provide expanded access to credit.Key ResponsibilitiesLead the design and development of robust machine learning systems that are primed for seamless deployment into production.Enhance Productivity: Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organization.Solve Complex Infrastructure and ML Problems: Address complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement.Drive Model Evaluation and Optimization: Lead the development of model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to ensure that models remain accurate and up-to-date.Apply ML Expertise to Fintech: Leverage state-of-the-art machine learning models within the fintech domain to automate and enhance document processing.Collaborate Across Teams: Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective.Mentor and Guide Engineers: Provide mentorship to engineers within both ML and platform teams, fostering their professional development and contributing to the overall growth of technical expertise.Contribute to Engineering Standards: Play an active role in shaping engineering standards, participate in design reviews (RFCs/ADRs), and promote adherence to best practices.RequirementsBachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or a related technical field; PhD preferred.Deep expertise in Python and at least one major ML framework (e.g., PyTorch, TensorFlow); strong proficiency in building, training, and optimizing deep learning models.Proven experience in applying ML techniques to computer vision, OCR, or NLP problems, ideally at scale and in latency-sensitive environments.Strong understanding of ML system design, including model evaluation, A/B testing, continuous training, and monitoring in production.Solid engineering fundamentals — data structures, system design, version control, and testing — with a history of writing clean, maintainable, and scalable code.Experience with modern infrastructure tools and cloud platforms (Docker, Kubernetes, Helm, AWS/GCP); comfortable navigating MLOps pipelines and deployment workflows.Demonstrated ability to lead cross-functional initiatives, influence architectural decisions, and communicate complex technical ideas to diverse stakeholders.Experience mentoring engineers and fostering a culture of high standards, curiosity, and ownership.


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