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
Skills Required
- Strong understanding of supervised and unsupervised learning, model training, validation, evaluation, feature engineering, and optimization
- Experience with classification, regression, and clustering models, including performance tuning and monitoring
- Practical knowledge of large language models such as GPT and Claude
- Knowledge of prompt engineering, retrieval-augmented generation, and vector databases such as Pinecone, FAISS, or Weaviate
- Experience building conversational AI, chatbots, and document-processing systems
- Strong experience with TensorFlow, PyTorch, and Scikit-learn
- Experience developing RESTful APIs to integrate AI models with enterprise applications
- Experience handling large healthcare and genomics datasets
- Hands-on experience with AWS SageMaker, AWS Nextflow, AWS Bedrock, AWS Lambda, Amazon S3, and IAM
- Ability to deploy, monitor, and scale AI models in production and design cloud-based AI architectures
- Understanding of data preprocessing pipelines and structured and unstructured data
- Familiarity with microservices, API-first design, SQL or NoSQL, and Git
- Knowledge of Microsoft .NET technologies, including ASP.NET Core, Blazor or MVC, Web APIs, and Entity Framework
- Experience designing, developing, and maintaining backend services and API integrations within .NET applications
- Understanding of .NET application architecture, database integration, authentication, security, and cloud deployment
- Experience with MLOps, Docker or 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 in structured project environments similar to government or RFP frameworks
- Willingness to support production systems, critical deployments, and operational activities
- Strong problem-solving, analytical, communication, documentation, and teamwork skills
What We Do
VAM Systems is a Business Consulting, Technology Solutions and Professional Services organization working with major organizations in USA, UAE, Bahrain, India, Singapore and Australia. Delivers leading edge information and communication technology based business solutions to enable our clients to continuously stay ahead and achieve sustainable profit and consistent growth by leveraging new channels of customer engagement and service delivery as well as better and efficient employment of resources and processes with measurable parameters for performance. While our local presence assists us in better understanding of the local needs, our global presence assist us to offer solutions strengthened by experience in leading markets globally.
