Chief Artificial Intelligence Engineer

2 days ago


hubballi, India beBeeExpert Full time

Machine Learning ArchitectDrive innovation at the intersection of AI and fintech.We're seeking a strategic technical leader to shape the future of our machine learning systems. This high-impact role entails determining the company's Machine Learning infrastructure, system architecture, and deployment protocols.You will collaborate across teams to design, scale, and refine models that power core features — from document understanding and OCR to complex NLP and decision intelligence.This role involves designing scalable Machine Learning solutions, mentoring engineering personnel, and contributing to the technical and organizational advancement of the AI stack.Key Responsibilities:Spearhead the Design and Architecture: Lead the design and architecture of robust, scalable 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 organizationSolve 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 Ocrolus' technical expertise.Contribute to Engineering Standards: Play an active role in shaping Ocrolus-wide engineering standards, participate in design reviews (RFCs/ADRs), and promote adherence to best practices.Champion Code Quality and Reliability: Be a vocal advocate for code quality, observability, and system reliability. This includes everything from implementing rigorous A/B testing to setting up real-time monitoring systems.



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