AI Engineer

Role overview

• check_circle Design, develop, train, and deploy AI/ML models for enterprise use cases.
• check_circle Build Generative AI and Agentic AI applications using modern LLM frameworks.
• check_circle Develop AI-powered chatbots, copilots, recommendation systems, and predictive analytics solutions.
• check_circle Implement NLP, computer vision, and intelligent automation solutions.
• check_circle Optimize model performance, scalability, and inference efficiency.
• check_circle Develop AI solutions on Microsoft Azure AI and cloud-native AI platforms.
• check_circle Work with large-scale datasets using Databricks and modern data engineering pipelines.
• check_circle Integrate AI services with APIs, databases, enterprise applications, and cloud platforms.
• check_circle Collaborate with infrastructure teams for GPU, storage, and AI workload optimization.
• check_circle Integrate AI with UiPath RPA and workflow automation solutions.
• check_circle Build AI-driven business process automation and intelligent document processing solutions.
• check_circle Develop autonomous AI agents and orchestration workflows.
• check_circle Participate in solution design workshops and technical presentations.
• check_circle Translate customer business challenges into AI-driven solutions.
• check_circle Support proposal preparation, PoCs, demos, and pilot implementations.
• check_circle Collaborate with sales and business teams during pre-sales engagements.
• check_circle Implement responsible AI, AI governance, and security best practices.
• check_circle Ensure compliance with cybersecurity, privacy, and data governance standards.
• check_circle Collaborate with CTS cybersecurity teams for secure AI deployment architectures.
• check_circle Stay updated with latest AI trends, LLM ecosystems, AI frameworks, and enterprise AI platforms.
• check_circle Evaluate emerging technologies and recommend innovative solutions aligned with CTS strategy.
• check_circle Contribute to CTS IP development, accelerators, and reusable AI frameworks.

Basic qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.
• Around 3 years of experience in AI/ML engineering or related roles.
• Strong programming skills in Python.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, or similar.
• Hands-on experience with LLMs, Generative AI, RAG architectures, and AI agents.
• Experience with cloud platforms, preferably Microsoft Azure.
• Knowledge of REST APIs, microservices, Docker, and Kubernetes.
• Experience with SQL, NoSQL, and data engineering concepts.
• Understanding of MLOps and CI/CD pipelines for AI deployments.
• Experience with Microsoft Azure OpenAI Service.
• Experience with Databricks Mosaic AI.
• Knowledge of cybersecurity principles for AI systems.
• Experience integrating AI with enterprise ERP, HIS, CRM, or banking platforms.
• Familiarity with intelligent robotics and AI-human interaction systems.
• Certifications in Azure AI, Data Engineering, or Machine Learning are an advantage.
• Strong analytical and problem-solving skills
• Innovation and research mindset
• Client-facing communication and presentation skills
• Ability to work independently and collaboratively
• Solution-oriented thinking
• Strong documentation and reporting skills
• Adaptability to emerging technologies
• Smart Government
• Healthcare & HIS Optimization
• Banking & Financial Services
• Smart Retail
• Education
• Smart Cities & Infrastructure
• Robotics & Intelligent Automation
• Cybersecurity & SOC Automation
• Opportunity to work on cutting-edge AI and digital transformation projects.
• Exposure to enterprise-scale cloud and AI technologies.
• Collaboration with leading global technology partners.
• Innovation-driven work culture.
• Career growth in emerging technologies and enterprise AI.
• Full-Time
• Mid-Level / Senior-Level
• Qatar
• Immediate / As per availability

About the company