Junior Data Scientist

Role Overview: You will be a specialist working with Large Language Models (LLMs) to design, develop, and integrate advanced AI solutions within the platform. Your main responsibilities will include automating data processing, generating actionable insights, and enhancing decision-making workflows. Your focus will be on building scalable solutions that improve efficiency, accuracy, and user experience through natural language understanding. Key Responsibilities: - Design, develop, and optimize NLP models for text processing, classification, and information extraction. - Apply machine learning and AI techniques to solve real-world business problems. - Collaborate with cross-functional teams to translate requirements into actionable AI/ML solutions. - Work with DBT, Snowflake, and Airflow to build robust and scalable data pipelines supporting ML workflows. - Perform exploratory data analysis, feature engineering, and model evaluation. - Deploy and monitor models in production, ensuring performance and scalability. - Document processes, models, and workflows to maintain high standards of reproducibility and knowledge sharing. Qualifications Required: - 2+ years of hands-on experience in NLP, Machine Learning, and AI. - Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SpaCy, NLTK, or HuggingFace). - Solid understanding of data modeling, ETL pipelines, and SQL. - Experience with DBT, Snowflake, and Airflow. - Familiarity with MLOps practices and deployment in cloud environments (AWS, GCP, or Azure). - Strong analytical and problem-solving skills with attention to detail. - Good communication and collaboration skills. - Bachelors/Masters degree in Computer Science, Data Science, AI, or related field.,