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 timeseries 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 handson 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.
• Handson 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.
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