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