Al Integration Developer

We are currently looking forAl Integration Developer for ourBahrain 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