Senior Machine Learning Engineer (NLP/LLMs)

Hudhud; Riyadh; On-site; SAR 320,000 - 520,000; Full time

Job summary

Hudhud is seeking a Senior Machine Learning Engineer with deep expertise in NLP and LLMs to join our growing team in Riyadh. You will translate research into production-grade systems, design scalable ML pipelines, and collaborate with product/engineering to deploy models across Hudhud platforms.

You will lead experiments, evaluate models for accuracy and cost, and stay at the forefront of NLP and generative AI.

Qualifications

• MSc or PhD in Computer Science, ML, AI or related field is required.
• 5+ years of professional ML/NLP experience, with at least 3+ years on LLMs.
• Strong background in NLP techniques (transformers, embeddings, sequence models).
• Hands-on experience with LLMs (fine-tuning, prompt engineering, model evaluation) and with LangChain and Haystack for building LLM apps.

Responsibilities

• Design, develop, and deploy NLP and LLM-based solutions for real-world use cases.
• Translate research into production-grade systems and scalable ML pipelines.
• Collaborate with product/engineering to integrate models into Hudhud platforms.
• Experiment, evaluate models, and optimize for accuracy, efficiency, and cost.
• Stay updated on NLP, LLMs, and generative AI advancements.
• Mentor junior engineers and contribute to a high-performance AI team.

Skills

NLP techniques

LLMs

ML system design

LangChain

Haystack

Education

MSc or PhD in CS/ML/AI

Tools

Python

PyTorch

TensorFlow

Hugging Face

Docker

Kubernetes

CI/CD

AWS/GCP/Azure

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.