Machine Learning Engineer II - Computer Vision at Synapse Analytics | Maadi, Egypt

Synapse AnalyticsMaadi, Al Qāhirah, Egypt

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.2-4 years of hands-on experience in a machine learning-focused role. Proficient in Python and well-versed in machine learning frameworks like PyTorch, TensorFlow, and scikit-learn. In-depth understanding and practical experience in computer vision techniques, including image/video processing, object detection, and recognition. Strong background in data preprocessing, feature extraction, data augmentation, and dimensionality reduction techniques. Expertise in visualizing and manipulating large datasets. Solid experience in UNIX/Linux environments, Git, and Docker. Exceptional troubleshooting skills for resolving ambiguities in requirements and model performance issues. Comprehensive understanding of the product development lifecycle, from discovery to deployment. Experience with Kubernetes is a notable advantage.

About the job

Synapse Analytics seeks a Machine Learning Engineer II with a focus on computer vision to join the team in Maadi, Al Qāhirah, Egypt. This position centers on building and scaling computer vision models for core products. The role extends beyond implementation, offering the opportunity to take ownership of advanced machine learning components and influence the product roadmap. Mentoring junior engineers is also a key responsibility.

Main Responsibilities

Design, implement, and manage the full lifecycle of machine learning models and features that drive product impact.
Collaborate with design and engineering teams to ensure model requirements are valuable and feasible.
Optimize model pipelines for better performance, speed, and alignment with company objectives.
Explore and visualize data to uncover distribution patterns affecting model performance, and establish effective validation strategies.
Analyze model errors and develop solutions to address them.
Work with stakeholders, designers, and developers to define requirements and deliver integrated solutions.
Communicate model decisions, progress, and challenges to management and cross-functional teams.
Lead model refinement sessions, offer detailed feedback to peers, and support the development of junior engineers.
Research market trends and user needs to propose and assess new product ideas.

About Synapse Analytics

At Synapse Analytics, we are committed to harnessing the power of data to develop innovative solutions that drive business success. Our team is passionate about creating impactful machine learning applications that leverage advanced technologies and methodologies.

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Senior Data Engineer (ML/AI) at Sana Commerce | Cairo

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Senior Data Scientist in ML/AI and GenAI at SanaCommerce | Alexandria

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Machine Learning Engineer II - Computer Vision at Synapse Analytics | Maadi, Egypt

Synapse Analytics

Full-time|On-site|Maadi, Al Qāhirah, Egypt

Role Overview Synapse Analytics seeks a Machine Learning Engineer II with a focus on computer vision to join the team in Maadi, Al Qāhirah, Egypt. This position centers on building and scaling computer vision models for core products. The role extends beyond implementation, offering the opportunity to take ownership of advanced machine learning components and influence the product roadmap. Mentoring junior engineers is also a key responsibility. Main Responsibilities Design, implement, and manage the full lifecycle of machine learning models and features that drive product impact. Collaborate with design and engineering teams to ensure model requirements are valuable and feasible. Optimize model pipelines for better performance, speed, and alignment with company objectives. Explore and visualize data to uncover distribution patterns affecting model performance, and establish effective validation strategies. Analyze model errors and develop solutions to address them. Work with stakeholders, designers, and developers to define requirements and deliver integrated solutions. Communicate model decisions, progress, and challenges to management and cross-functional teams. Lead model refinement sessions, offer detailed feedback to peers, and support the development of junior engineers. Research market trends and user needs to propose and assess new product ideas.

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AI Engineering Manager

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Senior AI Engineer at Tarjama | Cairo, Egypt

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Mar 30, 2026

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AI Systems Builder

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Contract|Remote|Egypt

Candidates based in LATAM, Africa, and Eastern Europe are welcome to apply. This fully remote role supports U.S.-based clients, so working hours align with 9 AM to 5 PM EST. Scale Army Careers is recruiting for an AI-focused media and enablement company dedicated to expanding access to artificial intelligence for communities, businesses, and leaders who have been underrepresented in the tech sector. The organization delivers content, training, and large-scale events, all supported by an AI-first infrastructure. Their mission is to provide practical AI solutions that scale and create tangible impact. Location and Schedule This position is remote from Egypt or select global regions. Work hours are 9 AM to 5 PM EST to support U.S.-based clients. Role overview The AI Systems Builder designs, develops, and maintains AI-native systems to automate social media, streamline internal operations, and improve workflow efficiency. This role is suited for someone comfortable working independently, able to navigate ambiguity, and interested in building and refining AI agent solutions for practical use. Key responsibilities AI Agent Development Develop and manage AI social media agents that monitor performance, generate content drafts, and handle scheduled publishing. Create agents for internal communication, workflow automation, data aggregation, and task delegation. Deploy agents using Claude Code, Cowork, and relevant APIs, overseeing projects from initial build to production. Design and maintain evaluation metrics to ensure agent outputs meet standards for quality, accuracy, and edge-case handling before deployment. Refine agent logic in response to real-world feedback and performance data. Internal Workflow and Operations Automation Identify manual processes and recommend AI-based automation solutions. Implement and maintain communication and workflow systems to reduce friction and enhance team productivity. Integrate tools via APIs and plugins, including Claude Code plugins, Slack, ClickUp, and other platforms. Document systems and processes thoroughly to support knowledge sharing and onboarding.

Apr 20, 2026

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Lead Full Stack Engineer (Node.js, React/Vue & AI Solutions)

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Full-time|Remote|Remote — Alexandria, Alexandria Governorate, Egypt

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Dec 11, 2025

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