We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region.
In this role, you will leverage state-of-the-art machine learning and data science techniques to create cutting-edge solutions that directly address critical customer problems.
Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud, etc.
Key job responsibilities
Invent, implement, and deploy cutting-edge machine learning algorithms and models to solve complex, real-world problems for our MENA customers.
Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation.
Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics.
Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems, etc.
Stay up-to-date with the latest advancements in machine learning and data science, and proactively identify opportunities to apply these techniques to drive business impact.
Contribute to the broader scientific community by publishing your work at top-tier conferences and journals.
A day in the life
Diving deep into ambiguous and complex business problems and translating them to appropriate ML problem statements.
Applying relevant science solutions for the ML problems.
Staying abreast with evolving science landscape and applying the state-of-the-art.
About the team
MENA tech is a 200 people tech organization spread across Jordan, UAE, India, and Seattle, building amazing solutions for customers in the region.
We deploy in MENA first but build for the world.BASIC QUALIFICATIONS - PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience.
- Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems.
- Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques.
- Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet.
- Excellent communication and collaboration skills to effectively work with cross-functional teams.
PREFERRED QUALIFICATIONS - Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks.
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