The team
Careers
Manar is small right now, by design. Every model that gets trained and deployed goes through direct review, not a process built to hide who is actually doing the work.
The people Manar looks for are comfortable with both sides of the job: the technical part, building and tuning systems against real data, and the practical part, visiting a site, understanding what is actually running there, and building something that works on that specific ground.
The current openings span two areas of work. The requirements are different. The standard is the same.
Open roles
SIJILL
FAHM
Full-time
Remote
Hybrid
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ML / NLP Engineer
Build the knowledge and language pipeline. Document retrieval, bilingual query understanding, offline models. SIJILL and FAHM. Runs in a building, no internet required.
SIMAH
Internship
3 months
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Vision Intelligence Intern
Hands-on time with NVIDIA Jetson Orin Nano, RTX GPU, and real cameras. Learn edge inference from the inside. Strong interns are considered for full-time roles.
NIBRAS
Internship
3 months
Remote
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MLOps & Deployment Intern
Package, optimize, and ship trained models from FAHM, SIMAH, and SIJILL into running production systems. The pipeline that turns research into something that runs in a building, without internet.
Anyone who thinks their work fits what Manar does is welcome to reach out through the contact page.