Hudhud, a Saudi geospatial maps and location-intelligence startup, is hiring a Senior ML Engineer in Riyadh to design, fine-tune, and deploy NLP and LLM-powered solutions into production. Core stack includes Python, PyTorch/TensorFlow, Hugging Face, LangChain/Haystack, and cloud/DevOps tooling (AWS/GCP/Azure, Docker, Kubernetes).
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.