Job Description

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

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