{"id":711707,"url":"https://alion.io/job/hudhud-senior-machine-learning-engineer-nlpllms","title":"Senior Machine Learning Engineer (NLP/LLMs)","company":{"id":691348,"name":"Hudhud","domain":"hudhud.sa","url":"https://alion.io/company/hudhud","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":134000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Haystack","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-23T14:15:45Z","employer_posted_date":"2026-08-23","last_verified_at":"2026-11-02T02:52:17Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":70},"description":"About The Role:\nWe 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.\nKey Responsibilities\nDesign, develop, and deploy NLP and LLM-based solutions for real-world applications.\nTranslate research papers and experimental models into production-ready systems.\nArchitect and implement scalable ML pipelines, ensuring performance and reliability.\nCollaborate with product and engineering teams to integrate ML models into Hudhud’s platforms.\nConduct experiments, evaluate models, and optimize for accuracy, efficiency, and cost.\nStay up to date with the latest advancements in NLP, LLMs, and generative AI.\nGuide junior engineers and contribute to building a high-performance AI team.\nQualifications & Skills\nEducation: MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields.\nExperience: Minimum 5+ years of professional experience in ML/NLP, with at least 3+ years working on LLMs.\nCore Expertise:Strong background in NLP techniques (transformers, embeddings, sequence models).\nHands-on experience with LLMs (fine-tuning, prompt engineering, model evaluation).\nPractical experience with LangChain and/or Haystack frameworks for building LLM-powered applications.\nSolid understanding of ML system design and deployment in production environments.\n\nSoftware Engineering Skills:Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).\nStrong knowledge of software engineering principles (version control, testing, CI/CD).\nExperience with distributed systems, APIs, and microservices.\nFamiliarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).\n\nProblem-Solving: Excellent analytical skills and ability to work independently in a fast-paced startup environment.\nPreferred: Experience in Arabic NLP or multilingual LLMs is a strong plus.\nJoining Hudhud means:\nWorking on real-world problems with direct impact across industries in Saudi Arabia and beyond.\nBeing part of a fast-growing startup that values innovation, ownership, and bold ideas.\nCollaborating with a team passionate about pushing the boundaries of geospatial technology.\nHelping shape the future of customer experience through maps and location intelligence.\nWe’re not just building technology - 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