TensorFlow Jobs in Qatar

<p>We are looking for an experienced AI Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.</p><ul><li><strong>LLM Development:</strong> build chatbots, RAG systems, and automated document processing pipelines</li><li><strong>Computer Vision:</strong> Implement OCR for insurance documents, damage assessment from photos, and identity verification</li><li><strong>Speech AI:</strong> Develop transcription, voice analytics, and multilingual support solutions</li><li><strong>AI Infrastructure:</strong> Deploy and monitor AI models, integrate with cloud AI services</li><li><strong>Product Integration:</strong> Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences</li></ul><p><strong>Requirements</strong></p><ul><li>5+ years of experience in AI/ML engineering with a focus on production systems</li><li>Strong Python skills (advanced) + experience with FastAPI/Flask for API development</li><li>Hands-on experience with LLM tools: OpenAI API, LangChain, Hugging Face Transformers</li><li>Computer Vision expertise: OpenCV, PIL, YOLO, Detectron2 (or similar)</li><li>Deep learning frameworks: PyTorch or TensorFlow for fine-tuning models</li><li>Cloud experience: AWS / Azure / GCP AI services</li><li>Docker &amp; Kubernetes for AI application containerization and orchestration</li></ul><p><strong>Core AI/ML Competencies</strong></p><ul><li>Prompt Engineering designing effective prompts for LLMs</li><li>Fine-tuning and training custom LLMs adapting pre-trained models to business tasks</li><li>Experience RAG (Retrieval-Augmented Generation) working with vector DBs and embeddings</li><li>Computer Vision Pipelines from preprocessing to inference</li><li>Model Optimization quantization, pruning, ONNX for faster inference</li><li>Multimodal AI building solutions that combine text + images</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>5+ years of experience in AI/ML engineering with a focus on production systems</p><p>Strong Python skills (advanced) + experience with FastAPI/Flask for API development</p><p>Hands-on experience with LLM tools: OpenAI API, LangChain, Hugging Face Transformers</p><p>Computer Vision expertise: OpenCV, PIL, YOLO, Detectron2 (or similar)</p><p>Deep learning frameworks: PyTorch or TensorFlow for fine-tuning models</p><p>Cloud experience: AWS / Azure / GCP AI services</p><p>Docker &amp; Kubernetes for AI application containerization and orchestration</p><p><strong>Core AI/ML Competencies</strong></p><ul><li>Prompt Engineering designing effective prompts for LLMs</li><li>Fine-tuning and training custom LLMs adapting pre-trained models to business tasks</li><li>Experience RAG (Retrieval-Augmented Generation) working with vector DBs and embeddings</li><li>Computer Vision Pipelines from preprocessing to inference</li><li>Model Optimization quantization, pruning, ONNX for faster inference</li><li>Multimodal AI building solutions that combine text + images</li></ul>

<p>Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>Languages: Arabic and English</li></ul><p>Preferred Qualifications:</p><ul><li>Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>Hands-on experience designing RAG pipelines and/or multi-agent systems.</li><li>Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>