Senior Data Scientist Lead R
Job Location:
Santa Ana, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Title: Senior Data Science Lead
Location: Santa Ana CA USA
Work Type: 2 days onsite per week
Experience: 1015 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
Bachelors or masters degree in computer science Data Science Artificial Intelligence.
Experience
1015 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: what its like to work and grow at Brillio: 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.
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Required Experience:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
