Senior Machine Learning Engineer (NLP/LLMs)
At a glance
Senior Machine Learning Engineering role at Hudhud Maps. Riyadh · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch NLP and LLM applications for practical use
- Turn published research and experimental models into software ready for production
- Create ML pipelines that can scale while maintaining speed and reliability
- Test models and tune accuracy, efficiency and cost; connect them with product and engineering teams
- Support junior engineers and help strengthen the AI team
What you bring
- You have at least five years in ML or NLP, including three years working with LLMs
- You hold a master's or doctorate in computer science, machine learning, AI or a related area
- You have built LLM applications with LangChain or Haystack and used fine-tuning, prompt design and model evaluation
- You can deploy production ML systems and bring strong Python skills with PyTorch, TensorFlow or Hugging Face
Who this fits
This senior role suits someone who can take machine learning work from research through deployment and guide junior engineers. Arabic NLP or multilingual LLM experience is a plus. It is a full-time position in Riyadh, Saudi Arabia.
From the employer
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.