Machine Learning Lead - Natural Language Processing, Bengaluru

Algorithm Development:  Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments. Statistical Modelling:  Apply experimental methodologies, statistics, optimization, probability theory, and machine learning to create tools, statistical models, and algorithms using general-purpose software and statistical languages.Insights and Optimization:  Develop descriptive, diagnostic, predictive, and prescriptive insights and algorithms to improve product and system performance. ML and Statistical Techniques:  Use techniques such as decision trees, logistic regression, Bayesian analysis, NLP, and other methods to design algorithms that enhance product quality, data accuracy, and system performance.Code Implementation:  Translate algorithms and technical specifications into efficient, production-ready code using modern programming languages like Python Debugging:  Implement programming practices, perform testing and debugging, and increase system efficiency. Documentation:  Create comprehensive documentationand maintenance procedures for implemented systems and algorithms.Generative AI Applications:  Develop and implement generative AI technologies for applications such as content generation, conversational systems, and interactive user experiences. Emerge Technologies:  Adapt machine learning methodologies to areas like artificial intelligence, image processing, and other modern technologies to promote solutions.Cloud-Based Solutions:  Deploy scalable solutions in cloud-based environments (e.g., AWS, Azure, and GCP). Education:  Bachelors or masters degree in computer science or a related field. Technical Skills: Proficiency in machine learning and natural language processing (NLP). Experience with software fundamentals, data structures, and algorithms.Hands-on experience with CI/CD pipelines, distributed systems, and cloud-based software. Expertise in generative AI and building conversational systems. Classification systems, sentiment analysis, NLP, and entity extraction Computer vision, OCR, and content extraction from images, PDFs, and HTML7+ years of experience with custom models and ensembles Experience in cloud-based environments (e.g., AWS, Azure, GCP) Expertise in generative AI and building conversational systems Software Development: Experience with object-oriented design principles, common design patterns, and best practices.