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ATT Lead Data Scientist
India, Karnataka, Bengaluru
142552125

10.04.2025

Responsibilities:

Develop high-performance, scalable, distributed computing tasks using Python, PySpark, and other distributed environment technologies.
Design, develop, and maintain scalable data pipelines for collecting, processing, and storing large datasets.
Deploy and integrate Generative AI models, including Large Language Models (LLMs), into production environments.
Implement effective prompt engineering strategies to enhance model performance and outputs.
Utilize FastAPI for creating robust APIs and write efficient Python code to support data processing, model deployment, and AI-driven solutions.
Use big data programming languages and technology to write code, complete programming and documentation, and perform testing and debugging of applications.
Analyze, design, program, debug, and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions.
Interact with data scientists and industry experts to understand how data needs to be converted, loaded, and presented.
Work in a highly agile environment.
Manage day-to-day work and deliverables.

Qualifications:

Educational Background: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Scientific Computing preferred.
Experience: Typically requires 12 plus years of relevant experience.
Technical Skills:
- Proficiency in Python, Scala, and SQL.
- Expertise / Experience in UI / Frontend using React.JS
- Hands-on experience with popular front end and back-end frameworks.
- Expertise in backend API development or Integration using FastAPI, Flask, or Django.
- Experience with React JS and other front end frameworks and data processing and analysis libraries such as Pandas, NumPy, and PySpark.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
Domain Knowledge: Familiarity with telecom datasets.
Cloud Expertise: Experience with Azure cloud services.
Communication Skills: Strong ability to communicate effectively with all levels of management, understand business requirements, and define project roadmaps.