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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/
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