About Anghami:

Anghami Inc. is home to two of the region’s most dynamic digital entertainment platforms—Anghami and OSN+. Together, they’ve created a powerhouse reshaping how the Middle East and North Africa (MENA) region experiences music, premium video, podcasts, and live entertainment.

Founded in 2012, Anghami is the MENA region’s leading multimedia streaming platform, connecting a community of over 120 million users, including 2.5 million paid subscribers. With headquarters in Abu Dhabi and offices across Dubai, Beirut, Cairo, and Riyadh, Anghami proudly became the first Arab tech company listed on NASDAQ (ANGH), making it more than a platform—it’s a hub for innovation, offering diverse entertainment experiences.

In 2024, Anghami joined forces with OSN+, the region's go-to platform for premium video streaming. OSN+ is known for its exclusive HBO series, Max Originals, and a great mix of local and international content. With top partnerships with studios like Warner Bros. and NBC Universal, OSN+ brings even more exciting entertainment to the Anghami ecosystem, offering a complete experience for millions of users.

At Anghami Inc., we’re passionate about building experiences that empower users to explore, connect, and share through entertainment. The team constantly pushes boundaries, crafting tools and features that allow people to express themselves and tell their unique stories.

Headquartered in Abu Dhabi, UAE, Anghami operates in 16 countries across MENA, with offices in Beirut, Dubai, Cairo, and Riyadh.

Job Summary:
We are looking for a skilled Machine Learning Engineer to build and deploy scalable ML models, with a focus on big data processing, recommender systems, and music information retrieval (MIR). You will collaborate with cross-functional teams to solve complex challenges and deliver intelligent, data-driven solutions.

Key Responsibilities:

• Develop, optimize, and deploy machine learning models at scale.
• Build and improve recommender systems and personalization algorithms.
• Work with large-scale data pipelines using Apache Spark.
• Conduct feature engineering, model training, and evaluation using best practices.
• Stay current on advancements in ML, recommender systems, and MIR technologies.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with big data tools like Apache Spark.
• Experience building or working on recommender systems.
• Familiarity or experience with Music Information Retrieval (MIR) is a strong plus.
• Proficient in Python; experience with cloud platform (AWS) is a plus.
• Solid understanding of data structures, algorithms, and production-grade ML deployment.