AI Director/Manager

Reports to CTO

Job Overview

AI Director/Manager will be responsible for designing, develop, and scale the implementation of advanced machine learning algorithms and frameworks to extract structured and unstructured data from various document formats such as PDFs, excel sheets, word documents, and other sources. The role blends deep technical expertise, people leadership, and ownership from roadmap definition to execution and measurable AI outcomes.

Responsibilities

• Own AI strategy, roadmap, and execution for mea. Ensure models are production-ready with focus on accuracy, performance, scalability, and explainability. Work closely with Product, Engineering, and Platform teams to embed AI into core workflows.

• Establish clear KPIs for AI success (accuracy, turnaround time, cost efficiency, adoption), lead development of AI-based extraction modules (NLP, OCR, LLMs), and ensure on-time delivery while maintaining high model and code quality standards.

• Manage and mentor AI/ML, data science, and prompt engineering teams

• Lead client discussions, solutioning, and AI roadmap alignment

• Ensure AI solutions are production-ready, scalable, and measurable

Skills

• Proficiency in relevant programming languages, frameworks, and technologies.

• Excellent problem-solving skills and the ability to analyze complex systems and architectural issues.

• Ability to prioritize tasks, manage deadlines, and deliver high-quality results within time constraints.

• Promote and foster collaboration and engagement with all team members.

• Ability to balance hands-on technical depth with strategic leadership.

• Strong stakeholder management and executive communication skills.

• Experience influencing product direction and business decisions using AI insights.

Education and Experience

• Bachelor’s degree in technology

• 15+ years of experience, Machine Learning Engineer, AI Architect, or similar role with a focus on data extraction from documents with 5+ years in leadership roles.

• Prior experience in MLOps and CI/CD for ML model deployment.

• Hands-on experience with OCR libraries (e.g., Tesseract, PyOCR), OpenCV, layout analysis models (e.g., LDA, CNN-based models), and object detection frameworks (e.g., YOLO, SSD).

• Experience with LLMs (GPT-4, BERT, LLaMA) for text-based data processing.

Open for relocation to Bangalore after few months.