Senior Machine Learning Engineer (NLP/LLMs)

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.