Summary
✨ AI‑Generated
A technology organization is seeking a senior AI engineer to design and deploy scalable machine learning solutions. The role focuses on generative AI, large language models, cloud-native architecture, and end-to-end AI pipelines.
Highlights
Work on advanced AI solutions involving generative AI, machine learning systems, cloud platforms, and production-scale deployments.
Description
📢 *Hiring: Senior AI Engineer*
📍 *Location:* Qatar
💼 *Experience:* 6+ Years Relevant Experience
🎯 *Role:* Senior AI Engineer
*🔹 Must-Have Skills:*
• 6+ years of relevant AI/ML engineering experience
• Strong experience with AI/ML stack on *GCP or Azure*
• Strong programming skills in *Python*
• Hands-on experience with *TensorFlow, PyTorch, and/or Scikit-learn*
• Experience with *LLMs, Generative AI, RAG, prompt engineering, and model fine-tuning*
• Experience with *LLM frameworks and Vector Databases*
• Strong knowledge of *cloud services and cloud-native architecture*
• Experience deploying AI services using *containers, APIs, and production deployment patterns*
• Experience building *end-to-end ML pipelines* from data ingestion to training, inference, and monitoring
*🔹 Key Responsibilities:*
• Design, implement, and deploy scalable, reliable, and secure AI/ML solutions
• Integrate LLM APIs and build *RAG-based solutions*
• Develop prompt engineering and model fine-tuning solutions
• Build end-to-end AI/ML pipelines covering data ingestion, training, inference, and monitoring
• Convert data science prototypes and notebooks into *production-grade AI services*
• Deploy batch, near-real-time, and API-based AI solutions
• Implement model traceability, auditability, testing, and evaluation
• Monitor and continuously optimize deployed AI systems
• Automate AI/ML training, deployment, testing, and monitoring processes
• Collaborate with Data Scientists, Software Engineers, and business stakeholders
• Stay current with emerging AI/ML technologies and identify practical enterprise applications
• Use approved AI tools and assistants for code generation, model development, pipeline automation, testing, debugging, and documentation
• Ensure AI solutions comply with *enterprise AI governance, security, risk, and compliance standards*
*🔹 Preferred/Additional Skills:*
• MLOps / ML lifecycle management
• CI/CD for ML and AI workloads
• Docker / Kubernetes
• REST APIs / Microservices
• Model monitoring and observability
• AI security, governance, and responsible AI practices
• Experience with enterprise-scale Generative AI implementations
