Senior Machine Learning Engineer (NLP/LLMs)

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Description

About The Role: We are looking for a Senior Machine Learning Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our growing team. This role requires strong research-to-production skills, combined with robust software engineering capabilities to ensure scalable, reliable systems. Key Responsibilities Design, develop, and deploy NLP and LLM-based solutions for real-world applications. Translate research papers and experimental models into production-ready systems . Architect and implement scalable ML pipelines, ensuring performance and reliability. Collaborate with product and engineering teams to integrate ML models into Hudhud’s platforms. Conduct experiments, evaluate models, and optimize for accuracy, efficiency, and cost. Stay up to date with the latest advancements in NLP, LLMs, and generative AI. Guide junior engineers and contribute to building a high-performance AI team. Qualifications & Skills Education: MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields. Experience: Minimum 5+ years of professional experience in ML/NLP, with at least 3+ years working on LLMs. Core Expertise: Strong background in NLP techniques (transformers, embeddings, sequence models). Hands-on experience with LLMs (fine-tuning, prompt engineering, model evaluation). Practical experience with LangChain and/or Haystack frameworks for building LLM-powered applications. Solid understanding of ML system de

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