Job Description
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
