Data Scientist

As a Gen AI Data Scientist, you will be responsible for leveraging your prior analytics and data science experience to drive projects involving AI and Advanced Analytics. Your strong experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, and Neural network will be essential for the success of these projects. Additionally, your in-depth understanding and hands-on experience in working with Large Language Models, along with exposure in fine-tuning open source models for a variety of use cases, will be crucial. Key Responsibilities: - Utilize your strong exposure in prompt engineering, knowledge of vector database, langchain framework, and data embeddings to enhance AI model behavior. - Apply your proficiency in Python programming language for data analysis, machine learning, and web development to develop innovative solutions. - Utilize hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn to implement cutting-edge algorithms. - Leverage your experience with distributed computing frameworks such as PySpark and Dask to scale AI models effectively. - Demonstrate excellent problem-solving skills and attention to detail in all aspects of the projects. - Communicate effectively with diverse clients/stakeholders to ensure project success. Qualifications Required: - 12 years of total experience in the field of analytics and data science. - Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. - Proficiency in Python programming language for data analysis, machine learning, and web development. - Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. - Experience with distributed computing frameworks such as PySpark and Dask. - Excellent problem-solving skills and attention to detail. - Ability to communicate effectively with diverse clients/stakeholders. (Note: No additional details about the company were provided in the job description.),