Senior Software Architect

Key Responsibilities:·      Architectural Leadership: Design and lead the development of robust, scalable AI architectures, ensuring high performance, reliability, and security.·      Applied Mathematics & Statistics: Apply statistical analysis, numerical computation, and mathematical modeling to derive insights from large-scale data and optimize model performance.·      Deep Learning Development: Design, train, and deploy advanced Deep Learning (DL) models.·      Technical Mentorship: Mentor engineering teams on best practices for AI/ML, coding standards, and architectural design.·      Model Optimization: Optimize models for speed, efficiency, and accuracy using techniques like pruning, quantization, or GPU acceleration.·      Strategy & Innovation: Evaluate and select appropriate AI frameworks, tools, and platforms, staying abreast of cutting-edge research and industry trends.Qualifications:Required:·      Education: Master's or PhD in Computer Science, Applied Mathematics, Statistics, Physics, or a related quantitative field.·      Experience: 10+ years of experience in software development, with at least 3-5 years in a Applied Mathematics and Deep learning.·      AI/ML Expertise: Proven experience designing and deploying deep learning models in production using frameworks.·      Mathematics/Statistics: Strong proficiency in linear algebra, calculus, probability, and statistical methods.·      Programming Skills: Expert-level coding skills in Python (NumPy, Pandas, Scikit-learn) and experience with languages like Java or C++.Key Competencies:Strategic mindset with deep operational awareness.Excellent communication and stakeholder management skills.Ability to simplify complex technical concepts for executive reporting.Strong leadership, people development, and cross-functional influencing skills.Bias for action and a relentless focus on continuous improvement.