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AI ML Engineer

11 hours ago

Dubai, United Arab Emirates micro1 Full time

Job Title: AI ML Engineer Job Type: Full-Time Location: Remote (Office in Dubai) Job Summary: Join our team as an AI ML Engineer and play a pivotal role in accelerating AI-driven business transformation for the insurance and financial services sectors. You will lead the end-to-end design, development, and deployment of innovative AI/ML solutions to boost operational efficiency, reduce fraud, and deliver personalized digital experiences. We value strong written and verbal communication skills as you collaborate with global colleagues and stakeholders. Key Responsibilities: Design, train, and deploy machine learning and deep learning models—including supervised, unsupervised, and reinforcement learning. Develop and scale advanced predictive models for classification, regression, and time-series forecasting. Leverage the latest AI/ML platforms (Crew AI, n8n, Autogen, LangGraph, LangChain, LangSmith) and workflow automation tools for rapid solution delivery. Drive productionization of AI models with robust MLOps pipelines—covering training, deployment, monitoring, and retraining. Engineer prompts and implement reranking and orchestration strategies to optimize large language model outputs. Advance NLP initiatives (text processing, embedding, information extraction, summarization, sentiment analysis) and integrate knowledge graphs where needed. Transform structured and unstructured data into actionable features, integrating diverse data sources for holistic solutions. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or Applied Mathematics. 4–5 years of hands-on AI/ML engineering experience in complex environments. Expert proficiency in Python (preferred), with experience in R or Java. Strong command of ML/DL frameworks (TensorFlow, PyTorch, Hugging Face). Experience with modern AI/LLM platforms and workflow automation tools (n8n, Crew AI, LangGraph, LangChain, LangSmith, AutoGen). Deep understanding of MLOps practices, containerization, and pipeline orchestration (MLflow, Kubeflow, Docker, Kubernetes, Airflow). Outstanding written and verbal communication skills, with an ability to explain complex technical concepts to diverse audiences. Preferred Qualifications: Domain expertise in insurance systems, financial data models, or medical data processing. Experience integrating NLP techniques into insurance use cases like claims, policy documents, or medical records. Hands-on experience with cloud AI platforms (AWS SageMaker, Azure AI, GCP Vertex AI) with data residency compliance. Our Dubai-based office is driving AI business transformation at scale—this is your opportunity to help shape the future of digital insurance and finance with our team, leveraging cutting-edge technologies and frameworks. #J-18808-Ljbffr