AIML Technical Architect

Roles & Responsibilities:

• Research, design, develop, optimize, and productize Artificial Intelligence and Machine Learning applications.
• Work on cutting-edge AI, ML, and NLP research projects alongside industry researchers and technical experts.
• Develop and enhance machine learning, text extraction, and image processing algorithms.
• Optimize existing AI/ML models and algorithms for scalability, accuracy, and performance.
• Build and deploy NLP-based solutions for text analytics and language understanding.
• Develop computer vision and image processing solutions using advanced frameworks and libraries.
• Write efficient, scalable, and maintainable Python code for AI/ML applications.
• Work with deep learning frameworks such as TensorFlow, Theano, Caffe, Torch, and OpenCV.
• Utilize GPU acceleration technologies including CUDA Toolkit and CuDNN for high-performance computing.
• Collaborate with cross-functional teams to integrate AI solutions into enterprise applications and products.
• Leverage cloud platforms such as AWS and Azure for AI model training, deployment, and monitoring.
• Conduct experimentation, model evaluation, and performance tuning for AI systems.
• Apply statistical analysis, mathematical modeling, and matrix computations to solve complex business problems.
• Participate in architecture discussions and provide technical leadership for AI/ML initiatives.
• Maintain technical documentation and research findings for future enhancements and scalability.
• Stay updated with emerging technologies, research trends, and advancements in AI, ML, NLP, and Computer Vision.
• Take ownership of self-professional development and contribute innovative ideas to product development.