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Data Scientist | ScaleneWorks INC

full-time
Posted on April 15, 2026

Job Description

Data Scientist - LLM, NLP, Gen AI, PyTorch, TensorFlow, React AI, Agentic AI, RAG

Company Overview

Company name and specific details are not provided. This section can be filled out based on general knowledge of the company or left out if not applicable.

Job Summary

The Data Scientist will play a pivotal role in leveraging advanced techniques in Machine Learning, Natural Language Processing (NLP), and General Artificial Intelligence (Gen AI). This position requires expertise in various frameworks such as PyTorch and TensorFlow, with a focus on developing applications that enhance AI capabilities. The ideal candidate will contribute to innovative solutions aimed at resolving complex business challenges.

Responsibilities

  • Design and implement machine learning models utilizing LLM, NLP, and Gen AI technologies.
  • Develop and optimize algorithms using PyTorch and TensorFlow for real-world applications.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Analyze large data sets to extract meaningful insights and drive data-driven decision-making.
  • Continuously evaluate and redesign methodologies to improve model performance and efficiency.
  • Stay current with emerging trends in AI and machine learning technologies.

Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 6-12 years of experience in data science or a related field.
  • Strong proficiency in PyTorch and TensorFlow for model development and training.
  • Extensive experience with Natural Language Processing (NLP) techniques and frameworks.
  • Familiarity with React AI, Agentic AI, and RAG methodologies.
  • Excellent analytical and problem-solving skills.
  • Strong coding skills in Python and familiarity with data visualization tools.

Preferred Skills

  • Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker).
  • Knowledge of data engineering principles and frameworks.
  • Familiarity with version control systems, particularly Git.
  • Additional experience with other programming languages such as Java or R.

Experience

  • 6-12 years of relevant work experience in data science, machine learning, or AI roles.

Environment

  • Work will be based in Bangalore and Chennai, with the potential for hybrid work arrangements.

Salary

Salary estimation is not provided. This section can be left out or filled in with market competitive rates based on role and experience level.

Growth Opportunities

Potential career advancement opportunities within the company are not specified. This section can be included based on company policy.

Benefits

Specific benefits offered are not provided. This section can be included based on standard offerings typical for data science roles.

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