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Requirements:
. This role implies hands-on use of Python, SQL and advanced data Science techniques to utilize unstructured and structured data. It is important that our candidate has strong, practical Python programming skills, and strong familiarity with OCR/ NLP /LLM/ML processes. Required technical skills: Proficiency in Python Practical LLM development knowledge- experience in training, fine-tuning, and optimizing LLMs At least 3 years of ML/ NLP modeling experience Experience with NLP tasks such as text classification, named entity recognition, sentiment analysis, and machine translation. Knowledge of SQL and NoSQL databases. Knowledge of deploying models to production environments using Docker, Kubernetes, and CI/CD pipelines. Proficiency with Git and other version control systems Experience with cloud platforms like AWS or Google Cloud for model training and deployment. Applied background in development and deployment patterns, understanding of how to write maintainable code and the importance of testing Required soft skills Both a team player and an independent professional striving for excellence
A positive can-do attitude, multi-tasking, highly motivated and result-focused
Flexible thinker and savvy learner. Available for on-site assignments at customer premises Security clearance - at least level 3 - a big advantage
Education: Degree in a Relevant Field: A bachelor's or master's degree in Computer Science, data science, statistics, mathematics, engineering, or a related field.