Advanced AI Solutions Developer

1 day ago

kottayam, India beBeeTechnical Full time

Machine Learning Engineer - Technical LeadJob Description:Come build cutting-edge AI solutions at the intersection of technology and finance. At our organization, we're on a mission to automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.Our data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, we capture data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—we stand at the forefront of AI innovation in fintech. Join us, and help redefine how the world's most innovative lenders do business.Key Responsibilities:Strategically lead the design and architecture of robust, scalable machine learning systems for seamless deployment into production.Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organizationAddress complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement.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 machine learning expertise to fintech, leveraging state-of-the-art models within the domain to automate and enhance document processing.Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective.Requirements and Qualifications: Bachelor'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. Benefits:This is an excellent opportunity to make a significant impact on the development of cutting-edge AI solutions and contribute to the growth of our organization. We offer a dynamic work environment, competitive salary, and opportunities for professional growth and development.

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