Senior AI Engineer

Role overview

• check_circle Designing, building, and scaling machine learning models and infrastructure
• check_circle Deploying deep learning and generative models into production for public and private sector projects
• check_circle Optimizing ML training and inference for performance, latency, and scalability
• check_circle Monitoring, retraining, and improving deployed ML models
• check_circle Driving consultation efforts, providing expert guidance to client stakeholders
• check_circle Own the end-to-end delivery of AI solutions, including data pipelines, model development, backend services, APIs, integrations, user interfaces, deployment, and operations
• check_circle Design and build data ingestion, transformation, and processing pipelines for structured and unstructured data
• check_circle Develop backend services and APIs to expose AI capabilities securely and reliably
• check_circle Build or contribute to frontend applications, dashboards, and interfaces for AI-powered solutions
• check_circle Integrate AI solutions with enterprise systems, databases, authentication services, and third-party platforms

Basic qualifications

• Bachelor's or master's degree in computer science or related field
• 5+ years of experience across software engineering, ML engineering, data science, data engineering and generative AI.
• Strong track record of projects across public and private sectors
• Expertise in Python, TensorFlow, PyTorch, ONNX, and ML deployment frameworks
• Expertise in containerization and orchestration technologies (Docker, Kubernetes), with hands-on experience in ML lifecycle management (MLflow) and local LLM deployment frameworks (Ollama)
• Skilled in on-premise infrastructure design and enterprise architecture frameworks, with strong adherence to security and compliance best practices
• Deep understanding of hardware provisioning for local LLM deployments (GPU, RAM, and storage optimization) and secure network configurations for internal AI services
• Experience with cloud ML environments (SageMaker, Vertex AI, OCI Data Science)
• Familiarity with MLOps practices and automation pipelines
• Strong end-to-end engineering capabilities across AI, data engineering, backend development, APIs, integrations, and application deployment
• Experience building data ingestion, transformation, and processing pipelines
• Familiarity with backend frameworks such as FastAPI, Flask, Django, Node.js, or equivalent technologies
• Experience designing and consuming REST APIs, webhooks, and enterprise integration interfaces
• Working knowledge of frontend technologies such as React, Next.js, JavaScript, TypeScript, HTML, and CSS
• Experience integrating AI solutions with databases, enterprise applications, identity and access management systems, and third-party services
• Ability to independently build functional AI applications from prototype through production
• Experience effectively using AI-assisted software development tools to accelerate prototyping and delivery

Benefits

• check_circle You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• check_circle You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• check_circle The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
• check_circle You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• check_circle We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

About the company