We are actively seeking an experienced Machine Learning Engineer to strengthen our operations in Manama, Bahrain. You will work with a modern stack, ship features iteratively, and partner with product, design, and operations teams. This is an on-site role, and you will be based at our office.
The successful candidate for this Machine Learning Engineer position in Manama, Bahrain will have a track record of shipping quality work, communicating clearly, and collaborating well with technical and non-technical teammates. You will be given the context and autonomy to make good decisions, plus mentorship from senior members of the team when helpful. We invest in tooling, documentation, and rituals that make it easier to focus on the work that matters.
You will find a healthy culture that rewards ownership, transparency, and craftsmanship.
Job Description
Requirements
- 3-5 years of professional experience as a Machine Learning Engineer or in a directly related role
- Strong hands-on proficiency with Python, TensorFlow, PyTorch
- Working knowledge of Machine Learning, Deep Learning, Data Science
- Excellent written and verbal communication skills in English
- Ability to manage priorities independently and deliver on committed timelines
- Bachelor's degree in a relevant field, or equivalent professional experience
Responsibilities
- Deliver high-quality work as a Machine Learning Engineer, from initial scoping through production release
- Collaborate with product, design, and cross-functional partners to define requirements
- Apply best practices in Python, TensorFlow, PyTorch to build reliable, maintainable solutions
- Participate in reviews, provide constructive feedback, and continuously improve team standards
- Document decisions, patterns, and processes so they scale beyond a single contributor
- Monitor outcomes, learn from incidents, and drive iterative improvements
Required Skills
Python
TensorFlow
PyTorch
Machine Learning
Deep Learning
Data Science
Benefits
Health Insurance
Paid Time Off
Professional Development Budget
Annual Air Ticket
End of Service Gratuity