Summary
HudHud is hiring a Senior Machine Learning Engineer focused on NLP and large language models for its platforms. The role involves developing and deploying NLP and LLM solutions, turning research into production systems, building scalable ML pipelines, and evaluating and optimizing models. Candidates should have an MSc or PhD in a relevant field, at least five years of ML/NLP experience including three years with LLMs, and strong software engineering and production deployment skills. Experience with Arabic NLP or multilingual LLMs is preferred.
The posting
As published on hudhud.sa. Pulled from the employer's site and shown as they wrote it.
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.