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

5 - 9 years

0 Lacs

karnataka

Posted:1 week ago| Platform: Shine logo

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Skills Required

optimization python r llm architecture language model training finetuning data preprocessing for nlp transfer learning adaptation handling ambiguity context in text application of llms data annotation evaluation scalability deployment model training evaluation algorithm development for enhanced language understanding applying llms to cybersecurity deployment strategy documentation best practices experimentation with emerging technologies methods mentoring crossfunctional collaboration tensorflow pytorch scikitlearn

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Machine Learning Engineer at Cisco Security AI, you will play a crucial role in developing and implementing cutting-edge AI solutions to enhance cybersecurity. Here's a breakdown of what is expected from you: Role Overview: You will be responsible for leading the development and implementation of machine learning models that address real-world cybersecurity challenges. Your expertise in large language models (LLMs), particularly Transformer-based models like GPT, will be key in designing models that effectively handle ambiguities, nuances, and context in natural language processing. Key Responsibilities: - Deep Knowledge of LLM Architecture: Demonstrate a comprehensive understanding of large language model architecture, including Transformer-based models such as GPT and their variants. - Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch and 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 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. - Application of LLMs: Creatively apply LLM technology in areas like chatbots, content creation, and semantic search. - Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment. Additional Company Details (if available): The Cisco Security AI team is dedicated to delivering AI products and platforms that help businesses worldwide defend against threats and safeguard critical aspects of their operations with security resilience. Passionate about simplifying security with zero compromise, the team leverages AI and Machine Learning to make businesses more secure. Qualifications Required: - 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. - Expertise in machine learning algorithms, deep learning, and statistical modeling. Join Cisco Security AI to contribute to the advancement of cybersecurity through innovative machine learning solutions. Your role will involve model training, optimization, and evaluation, algorithm development for enhanced language understanding, applying LLMs to cybersecurity, deployment strategy, documentation of best practices, experimentation with emerging technologies and methods, and mentoring cross-functional teams. Are you ready to make a difference in the cybersecurity industry Apply now at #CiscoAIJobs.,

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