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16 Artificial Intelligence Researcher Jobs

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

9-10 years

Bangalore / Bengaluru

1 vacancy

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

WebEx

posted 19d ago

Job Role Insights

Flexible timing

Job Description

You are an accomplished and visionary Senior Machine Learning Engineer with a track record of leading teams and architecting machine learning solutions that have made a significant impact. You are deeply passionate about machine learning with a proven track record of successfully developing and implementing models that address real-world problems .
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. Experience with agentic frameworks a plus.
  • Data Preprocessing for NLP: Skills in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encodings.
  • 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 natural language processing.
  • 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, especially in natural language understanding and generation tasks.
  • Applying LLMs to Cybersecurit y: Tailoring language models for cybersecurity purposes, such as analyzing threat intelligence, detecting cyber threats, and automating responses to security incidents.
  • Deployment Strategy: Collaborate with software engineering teams to design and implement deployment strategies for machine learning models into security systems, ensuring scalability, reliability, and efficiency.
  • Documentation and Best Practices: Establish best practices for machine learning and security operations, and maintain clear documentation of models, data pipelines and metrics
  • Experimentation with Emerging Technologies and Methods : Actively exploring new technologies and methodologies in language model development, including experimental frameworks, software tools, and cutting-edge approaches.
  • Mentoring and Cross-Functional Collaboration : Providing mentorship to team members and working collaboratively with cross-functional teams to ensure cohesive development and implementation of language model projects.
Basic Qualifications
  • BA / BS degree with 7+ years of experience (or) MS degree with 5+ years of experience as a machine learning engineer
  • Solid experience in machine learning engineering, with a strong portfolio of successful projects
  • Extensive experience in building machine learning systems and scalable solutions
  • Expertise in machine learning algorithms, deep learning, and statistical modeling
Preferred Qualifications
  • Advanced degree in Computer Science, Data Science, Statistics, Computational Linguistics or a related field.
  • Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch , scikit-learn)
  • Excellent problem-solving and communication skills, with the ability to explain complex concepts to non-technical stakeholders
  • Proven ability to work collaboratively in cross-functional teams

Employment Type: Full Time, Permanent

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What Artificial Intelligence Researcher at WebEx are saying

What WebEx employees are saying about work life

based on 22 employees
75%
59%
73%
67%
Flexible timing
Monday to Friday
No travel
Day Shift
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WebEx Benefits

Job Training
Team Outings
Education Assistance
Soft Skill Training
Health Insurance
Child care +6 more
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