Data Scientist

Job description

Job Description: As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques. Development, optimization and evaluating as well as deploying them into production environments would be the key aspects of your role. You will have to collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. - Responsibilities: Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. - Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. - Perform R&D by exploring and optimizing algorithms, methodologies, and technologies to tackle complex problems and drive innovation. - Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. - Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. - Qualifications: 2+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. - Strong expertise in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. - In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. - Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. - 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. - Excellent problem-solving skills and attention to detail. - Ability to communicate effectively with diverse clients/stakeholders.