Models وظائف في United Arab Emirates

We are hiring a  Senior AI / ML Specialist  with  15+ years of industry experience  to lead the development of cutting-edge AI solutions that blend  Large Language Models (LLMs)  and  traditional Deep Learning  for industrial applications. This role requires a proven track record of delivering scalable AI solutions in data-heavy industrial environments, particularly with  signal processing  (e.g., FFT, velocity spectrum),  time-series analysis , and large-volume data pipelines. The ideal candidate will have  7+ years of expertise in Deep Learning  (CNNs, RNNs, Transformers) and  3–4 years focused on LLMs , coupled with direct experience in  industrial AI deployments .  strong industry exposure  and a history of solving real-world problems through data analysis and machine learning are critical. Key Responsibilities AI Solution Development : Design, train, and deploy LLM-based systems  and deep learning models  (e.g., CNNs, Transformers) for industrial use cases like predictive maintenance, anomaly detection, and signal analysis. Optimize models for large-scale sensor data, time-series datasets, and spectral analysis (FFT, velocity spectrum). Industrial Data Expertise : Process and analyze high-volume industrial data (vibration, acoustics, IoT sensor streams) using advanced signal processing and feature engineering techniques. Develop hybrid AI architectures that integrate LLMs with classical deep learning for multimodal industrial applications. Cross-functional Collaboration : Partner with domain experts, engineers, and product teams to translate industrial challenges into AI-driven solutions. Mentor junior team members and establish best practices for MLOps , model scalability, and deployment in resource-constrained environments. Innovation & Leadership : Stay ahead of advancements in LLMs (e.g., GPT, BERT, Llama), deep learning, and industrial AI trends. Lead proof-of-concept projects to validate new AI approaches for real-time data processing and decision-making. Qualifications Experience : 15+ years  in industry roles, with 7+ years in Deep Learning  (CNNs, RNNs, GANs, Transformers) and 3–4 years in LLM development / fine-tuning . Proven track record of deploying industrial AI solutions  (e.g., manufacturing, energy, automotive) involving large-scale data and signal processing. Hands-on experience with time-series analysis , FFT , spectral data , and sensor / IoT data pipelines. Technical Skills : Mastery of Python , TensorFlow / PyTorch , and NLP libraries (Hugging Face, LangChain). Proficiency in big data tools  (Spark, Hadoop) and cloud platforms  (AWS, GCP, Azure). Strong background in MLOps  (Docker, Kubernetes, CI / CD) and model optimization (quantization, pruning). Industry Exposure : Prior roles in industrial sectors  (e.g., robotics, energy, heavy machinery) with a focus on solving operational challenges using AI. Experience working in cross-functional data / ML teams  with a focus on production-grade deployments. Education : Bachelor’s / Master’s in Computer Science, Electrical Engineering, or related field. PhD is a plus but not required . Preferred Qualifications Experience with edge AI deployments  for industrial hardware. Familiarity with physics-informed ML  or hybrid models combining domain knowledge with AI. Publications or patents in AI / ML applications for industrial systems. Why Join Us? Build AI solutions that transform industries through predictive analytics , real-time decision-making , and automation . Work with cutting-edge tools and datasets in a team that values innovation and practical impact. Competitive compensation, flexible work models, and opportunities for global collaboration. Powered by JazzHR