About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Senior Data Scientist JOB REQUIREMENTS Job Title: Senior Data Science Lead Location: Santa Ana, CA, USA Work Type: 2 days onsite per week Experience: 10–15+ years (with strong AI leadership background)   Role Overview A highly experienced Senior Data Science Lead to drive advanced AI initiatives with a strong focus on Computer Vision (CV) and Optical Character Recognition (OCR). This role will provide technical leadership, architecture direction, and hands-on expertise in designing, developing, and deploying scalable AI solutions for enterprise-grade use cases. This is a highly client-facing role, requiring a strong blend of technical depth, consultative mindset, and leadership capability. The ideal candidate will combine deep technical expertise with strong stakeholder management and team leadership capabilities.   Key Responsibilities Technical Leadership • Lead the design, development, and deployment of end-to-end AI/ML solutions, with primary focus on Computer Vision and OCR use cases. • Architect scalable and production-ready AI systems, ensuring performance, accuracy, security, and maintainability. • Drive adoption of state-of-the-art AI techniques including deep learning, transformers, multimodal models, and document intelligence. • Review and guide model selection, feature engineering, training strategies, and evaluation metrics. Computer Vision & OCR Expertise • Lead CV initiatives such as image classification, object detection, segmentation, face/text recognition, and video analytics. • Design and optimize OCR pipelines for structured and unstructured documents (invoices, forms, IDs, contracts, handwritten text). • Implement and enhance document understanding workflows including layout analysis, key-value extraction, and semantic interpretation. • Improve model accuracy through data augmentation, active learning, and continuous feedback loops. AI Engineering & Deployment • Work closely with engineering teams to deploy models using MLOps best practices. • Design CI/CD pipelines for ML, model monitoring, drift detection, and automated retraining. • Ensure AI solutions are cloud-native and scalable (AWS / Azure / GCP). Stakeholder & Delivery Management • Partner with business stakeholders to translate business problems into AI-driven solutions. • Provide technical thought leadership during client discussions, solutioning, and proposals. • Own delivery outcomes, timelines, and quality for AI programs. People & Practice Leadership • Mentor and guide data scientists, ML engineers, and analysts. • Establish best practices, coding standards, and governance for AI development. • Contribute to building AI capability, accelerators, and reusable frameworks within the organization.   Education • Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence. Experience • 10–15+ years of experience in Data Science / AI, with at least 5+ years in a leadership role. • Proven, hands-on experience delivering Computer Vision and OCR solutions at scale. • Strong experience working in enterprise or consulting environments.   Soft Skills & Leadership Traits • Strategic thinker with strong problem-solving skills. • Ability to balance hands-on technical work with leadership responsibilities. • Excellent communication, influencing, and stakeholder management skills. • Strong mentoring mindset and passion for building high-performing teams. Know more about DAE: https://www.brillio.com/services-data-analytics/ Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/   Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. #LI-SR1   Know what it’s like to work and grow at Brillio: Click here