Job Title: Senior Data Scientist (5-10 Years)Location: Bangalore, IndiaKey Responsibilities: Design and implement advanced machine learning models and AI algorithms to solvebusiness challenges. Lead and manage data science projects, from problem formulation to model deploymentand monitoring. Develop and/or fine-tune Large Language Models (LLMs) and other state-of-the-artAI/ML techniques for practical applications. Collaborate with cross-functional teams including product, engineering, and businessstakeholders to understand requirements and deliver effective solutions. Analyze large datasets to extract insights and develop predictive models that enhancebusiness decision-making. Drive innovation in AI/ML methodologies, ensuring the application of best practices indata science. Perform exploratory data analysis, feature engineering, and data preprocessing toimprove model performance. Contribute to the development of data pipelines, model deployment strategies, andmodel performance evaluation. Mentor junior data scientists, providing technical guidance and fostering a culture oflearning and growth.Key Skills & Qualifications: 5-10 years of experience in data science, machine learning, and AI. Expertise in AI/ML, data science, and advanced analytics techniques. Strong experience with Large Language Models (LLMs) and deep learning frameworksFLOCAREER INDIA PRIVATE LIMITEDSr. Data Scientist(e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, R, or similar. Strong knowledge of machine learning algorithms, natural language processing (NLP),and deep learning techniques. Experience with model deployment, monitoring, and scaling in a productionenvironment. Solid understanding of statistical analysis, data visualization, and data wrangling. Ability to interpret complex datasets, identify patterns, and generate actionable insights. Strong communication skills, with the ability to convey technical concepts tonon-technical stakeholders. Hands-on experience with data manipulation and analysis tools such as Pandas, NumPy,and scikit-learn. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is a plus.Preferred Qualifications: Advanced degree (MS or Ph.D.) in Computer Science, Data Science, Statistics, or arelated field. Experience in developing and fine-tuning NLP models and generative AI techniques. Familiarity with data engineering tools and platforms (e.g., Apache Spark, Hadoop). Knowledge of model interpretability and explainability techniques.