Machine Learning Lead Natural Language Processing Secunderabad

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 productive, production-ready code using up-to-date programming languages like Python Debugging: Implement programming practices, perform testing and debugging, and increase system efficiency. Documentation: Create comprehensive documentation and 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 up-to-date 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 HTML 7+ 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. Apply on Kit Job: kitjob.in/job/4mexoi