Sr Data Scientist

Title: Sr Data Scientist Job Location: Plano, TX Telecom domain must… Need have solid exp on RAG systems, transformers, and NLP models Job Overview We’re looking for a highly skilled and experienced Data Scientist to help lead this transformation. If you’re passionate about turning complex data into actionable insights, advancing the frontiers of anomaly detection, transformers, and Retrieval-Augmented Generation (RAG), and pushing the boundaries of what AI can do, this is your opportunity. Telecom experience is a must, but what matters most is your curiosity, creativity, and deep expertise in machine learning. Job Responsibilities • Develop and optimize RAG (Retrieval-Augmented Generation) based systems to improve information retrieval and decision-making processes. • Apply transformers and deep learning models to extract insights from large and complex datasets. • Implement anomaly detection algorithms to identify unusual patterns and potential issues in telecom and other datasets. • Design and deploy scalable AI/ML solutions that address real-world business challenges. • Collaborate with cross-functional teams, including data engineers, software developers, and domain experts, to integrate ML solutions into production environments. • Stay up to date with the latest advancements in AI/ML and apply them to enhance model performance. • Communicate findings and recommendations effectively to both technical and non-technical stakeholders. Job Requirements • Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field from an accredited university, or equivalent work experience. • Minimum 8 years of relevant work experience. • Strong experience in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). • Hands-on experience with RAG systems, transformers, and NLP models. • Expertise in anomaly detection techniques, including statistical and ML-based approaches. • Strong background in data preprocessing, feature engineering, and model evaluation. • Training/Pretraining/Fine-tuning LLMs and ML experience with large datasets. • Excellent problem-solving and analytical skills. • Networking technology background. Preferred Qualifications: • Advanced degree (MS/PhD) in Computer Science, Data Science, AI/ML, or a related field. • Familiarity with graph databases and knowledge graphs for information retrieval. • Contributions to research publications, open-source projects, or AI/ML communities. • Understanding of AI governance and implementation. Raj Vemula Director–Resource Development raj.vemula@infovision.com www.infovision.com