Data Science Professional

Job description 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Strong programming skills in Python Experience with deep learning frameworks (eg, TensorFlow, PyTorch) Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(research-oriented). Expertise in most of the following areas: supervised unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Building RAG application independently using available open source LLM models. Comfortable working in the cloud and high-performance computing environments (eg, AWS/Azure/GCP, Databricks). Note: SLCA, we need person with both strong technical skills and communicate with stakeholders.