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 .
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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.
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Data Preprocessing for NLP: Skills in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encodings.
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Application of LLMs: Experience in creatively applying LLM technology in diverse areas such as chatbots, content creation, semantic search, and more.
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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.
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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.
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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.
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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.
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Advanced degree in Computer Science, Data Science, Statistics, Computational Linguistics or a related field.
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Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch , scikit-learn)
Employment Type: Full Time, Permanent
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