Role - Data Scientist

Experience - 4 to 15 years

• Advanced degree in mathematics, statistics, computer science, or related field
• .Strong knowledge of statistical analysis, machine learning, and deep learning
• .Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs)
• .Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams
• .Fine-tuning pre-trained models to optimize their performance for specific tasks and domains
• .Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution
• .Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments
• .Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions
• .Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions
• .Implementing MLOps practices for model deployment, monitoring, and management
• .Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch)
• .Staying updated with the latest advancements in data science, generative AI, and cloud AI services
• .Experience in developing and deploying AI/Gen AI based systems in production
• .Mentoring junior data scientists and providing technical guidance

.