ABOUT GYMNATION
GymNation is a Dubai-based chain of large-format fitness centers founded in 2017, operating over 20 locations across the UAE and Saudi Arabia. As we continue to expand, we're looking for exceptional talent to grow with us and help bring the unmistakable GymNation energy to members across the region.
THE ROLE
GymNation is expanding our team and looking for an AI/ML Engineer who is eager to join our growing team of passionate people. You'll work on production AI systems that directly touch our members and staff — from in-house voice hardware to conversational agents and retrieval-augmented generation pipelines — turning cutting-edge machine learning into tools that actually ship.
KEY RESPONSIBILITIES
CONVERSATIONAL AI & VOICE
- Integrate speech-to-text, language-model reasoning, and text-to-speech capabilities into our in-house voice hardware, handling practical issues and tracking real-world performance
- Maintain and enhance advanced conversational agents across web, mobile, and voice-based platforms
RAG & MACHINE LEARNING SYSTEMS
- Develop and deploy production-ready Retrieval-Augmented Generation (RAG) systems, including building FAISS-based vector stores, generating embeddings, and optimizing prompts for latency and accuracy
- Prepare datasets, train and validate models (using tools like scikit-learn or XGBoost), manage experiments, containerize applications with Docker, and deploy to staging and production environments via CI/CD pipelines
API DEVELOPMENT & ENGINEERING PRACTICES
- Design and extend RESTful APIs using FastAPI, incorporating features like authentication, rate-limiting, versioning, and structured logging
- Ensure high code quality by writing clear tests, participating in code reviews, and collaborating closely with teammates and technical leadership
The duties and responsibilities listed are not exhaustive and may be reasonably amended as business requirements evolve.
WHAT YOU'LL BRING
REQUIREMENTS
- Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field
- Proficiency in Python; comfortable writing clean, maintainable, and tested code
- Practical knowledge of Python's data and ML ecosystem: NumPy, pandas, scikit-learn, and deep-learning frameworks such as PyTorch or TensorFlow
- Familiarity with standard software development tools, including Git, Docker, and basic Continuous Integration and Deployment (CI/CD) practices
- Project-based experience developing at least one RESTful API and one complete machine learning workflow from data preparation through model deployment
- Excellent communication skills and a collaborative mindset; comfortable giving and receiving feedback in a fast-paced technical team
PREFERRED
- Exposure to frameworks and libraries such as LangChain, LlamaIndex, or related generative AI tooling
- Experience or familiarity with vector databases (FAISS, Pinecone, Chroma)
- Basic understanding of generative AI models and their practical applications
- Familiarity with developing real-time or asynchronous applications (asyncio, WebSockets)
- Familiarity with building gradient-boosting algorithms (XGBoost, CatBoost, LightGBM)
- Participation in internships, hackathons, or projects involving conversational interfaces or real-time systems
WHAT WE OFFER
- Competitive salary
- GymNation all-access membership & wellness stipend
- 30 calendar days paid vacation
