Senior Machine Learning Engineer (NLP/LLMs)

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 the employer’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.

Requirements

• 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
• 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 the employer 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