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We are currently looking for Al Integration Developer for our Bahrain operations with the following skillsets & terms and conditions: Experience Required Strong understanding of Supervised & Unsupervised Learning; Model Training, Validation, and Evaluation; Feature Engineering & Optimization. Experience working with Classification, Regression, and Clustering models; Model performance tuning and monitoring. Practical knowledge of Large Language Models (LLMs) such as GPT, Claude.
Knowledge of Prompt Engineering, Expertise in Retrieval-Augmented Generation (RAG), and Vector databases (e.g., Pinecone, FAISS,Weaviate). Experience building conversational Al / Chatbots and document processing systems. Strong experience with TensorFlow, PyTorch, Scikit-learn. Experience in RESTful API development to integrate Al models with enterprise applications. Experience in handling large data sets such as Healthcare and Genomics data.
Hands-on experience with AWS SageMaker, AWS NextFlow, AWS Bedrock, AWS Lambda, Amazon S3, and IAМ. Ability to deploy, monitor, and scale Al models in production and design cloud-based AI architectures. Understanding data preprocessing pipelines, handling structured/unstructured data. Familiarity with Microservices architecture, API-first design, SQL/NoSQL, and Git. Good knowledge of Microsoft.NET technologies including ASP.NET Core, Blazor/MVC, Web APIs, and Entity Framework.
Familiarity to design, develop, and maintain backend services and API integrations within .NET-based applications. Good understanding of .NET application architecture, database integration, authentication/security concepts, and cloud-based deployment environments. Strong problem-solving and analytical thinking. Ability to clearly explain technical/Al concepts to non-technical stakeholders. Effective communication, documentation skills, and a team-oriented mindset.
Experience with MLOps practices, Docker/containerization, and CI/CD pipelines. Exposure to healthcare, licensing, or insurance domain systems Ability to prepare technical documentation, architecture diagrams, and solution designs. Ability to work under structured project environments (similar to government/RFP frameworks). Willingness to support production systems, critical deployments, and provide operational support when required
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