The Role
Design, deploy, and optimize NLP and LLM solutions for production use. Translate research into scalable ML systems, build reliable pipelines, evaluate and fine-tune models, and integrate AI capabilities with product platforms. Collaborate across product and engineering teams, optimize performance and costs, stay current with generative AI advances, and mentor junior engineers while helping build a high-performance AI team.
Summary Generated by Built In
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.
- 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.
Skills Required
- MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
- At least 5 years of professional experience in machine learning or NLP
- At least 3 years of experience working with large language models
- Strong knowledge of NLP techniques, including transformers, embeddings, and sequence models
- Hands-on experience with LLM fine-tuning, prompt engineering, and model evaluation
- Practical experience with LangChain and/or Haystack
- Understanding of ML system design and production deployment
- Proficiency in Python and ML frameworks including PyTorch, TensorFlow, and Hugging Face
- Knowledge of software engineering principles, version control, testing, and CI/CD
- Experience with distributed systems, APIs, and microservices
- Familiarity with AWS, GCP, or Azure
- Familiarity with Docker and Kubernetes
- Excellent analytical and problem-solving skills with the ability to work independently
- Experience in Arabic NLP or multilingual LLMs
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