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Senior Machine Learning Engineer (NLP/LLMs)

Hudhud Maps

On-site🇸🇦Riyadh, Saudi ArabiaseniorPosted 30d+ ago

Visa & sponsorship

  • Employers in Saudi Arabia sponsor the residence visa by default, and nothing in the posting says otherwise.

Job 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 design and deployment in production environments.

  • Software Engineering Skills:

  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).

  • Strong knowledge of software engineering principles (version control, testing, CI/CD).

  • Experience with distributed systems, APIs, and microservices .

  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

  • Problem-Solving: Excellent analytical skills and ability to work independently in a fast-paced startup environment.

  • Preferred : Experience in Arabic NLP or multilingual LLMs is a strong plus.

Joining Hudhud means:

  • Working on real-world problems with direct impact across industries in Saudi Arabia and beyond.

  • Being part of a fast-growing startup that values innovation, ownership, and bold ideas.

  • Collaborating with a team passionate about pushing the boundaries of geospatial technology .

  • Helping shape the future of customer experience through maps and location intelligence .

We’re not just building technology — we’re redefining how people and businesses experience the world around them.