AI ML Engineer

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.