Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

RATE NOW!
- ABECA 2025
  
  RATE NOW!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

WebEx

Compare

4.7

based on 20 Reviews

93 WebEx Jobs

AI Researcher/ML,Gen AI, LLM, Lead ML teams AI Assistant

WebEx Communications India (P) Ltd.

4.7

based on 20 Reviews

13-17 years

Bangalore / Bengaluru

1 vacancy

AI Researcher/ML,Gen AI, LLM, Lead ML teams AI Assistant

WebEx

posted 19hr ago

Job Role Insights

Flexible timing

Key skills for the job

Salesforce Python Cisco Machine Learning Training Publishing

+ 2 more

Job Description

Who You Are

You are someone with:

Deep Knowledge of LLM Architecture: Comprehensive understanding of the architecture underlying large language models, such as Transformer-based models, including GPT (Generative Pre-trained Transformer), and their variants.

Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models for specific applications or domains.
Data Preprocessing for NLP: Skills in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding.
Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs.
Handling Ambiguity and Context in Text: Ability to design models that effectively handle ambiguities, nuances, and context in NLP.
Innovative Application of LLMs: Experience in creatively applying LLM technology in diverse areas such as chatbots, content creation, semantic search, and more.
Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics.
Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment.

What You Will Do

Model Training, Optimization, and Evaluation: This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, automated chatbots, content recommendation systems, etc.
Algorithm Development for Enhanced Language Understanding: Focusing on the development or refinement of algorithms to improve the efficiency and accuracy of language models and understanding and generation tasks.
Applying LLMs to Cybersecurity: Tailoring language models for cybersecurity purposes, such as analyzing threat intelligence, detecting cyber threats, and automating responses to security incidents.
Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools.
Mentoring and Collaboration: Providing mentorship to team members and working collaboratively with disparate teams to ensure cohesive development and implementation of language model projects.

Basic Qualifications

Python
4+ years experience in natural language processing tools, including some of the following:
- large language models, Gen AI & ML (Exp in leading small teams)
- text classification
- sentiment analysis
- natural language generation
BA / BS degree with 8+ years experience (or) MS degree with 6+ years of experience (or) PHD + 3 years as a machine learning engineer or researcher.

Preferred Qualifications

A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms.
Knowledge and practical experience in NLP techniques and tools, including working with language models, text classification, sentiment analysis and natural language generation.
Experience with frameworks including TensorFlow, PyTorch, or Keras.
Skills in data preprocessing, cleaning, and analysis, with the ability to work with large datasets and extract meaningful insights.
A background in conducting research, designing experiments, publishing papers, and keeping current with the latest advancements in LLMs.
The capacity to think critically and tackle complex, innovative problems in the field.
A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI.

Employment Type: Full Time, Permanent

Read full job description