AI Integration Developer
- Location
- Manama, Capital Governorate, Bahrain
- Country
- Bahrain
- Category
- Technology & IT
- Employment type
- Full-time
- Application
- External application
- Posted
- 24 Sept 2026
- Closes
- 15 Oct 2026
CV Match Score
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About this role
🧬 Hiring: AI Integration Specialist (Healthcare & Genomics / AWS / RAG / .NET)
Location: On-site Bahrain
Experience: Minimum 3years
Contract Duration: 2-Year Full-Time Contract
Candidate should be available locally in Bahrain
About the Role:
We are looking for an experienced AI Integration Specialist to lead the deployment of machine learning models, Pharmacogenomics predictions, conversational chatbots, and vector search systems for a large-scale national genomic dataset.
Key Responsibilities:
* Build, fine-tune, and deploy ML/DL models (Classification, Regression, Clustering) using TensorFlow, PyTorch, and Scikit-learn.
* Implement production-grade RAG architectures, vector databases (Pinecone, FAISS, Weaviate), and LLM integrations (GPT, Claude).
* Architect cloud-native AI pipelines utilizing AWS SageMaker, AWS NextFlow, AWS Bedrock, Lambda, S3, and IAM.
* Design RESTful APIs and integrate backend services within .NET/ASP.NET Core enterprise environments.
* Clean, normalize, and process large structured/unstructured healthcare and genomic datasets.
Requirements & Qualifications:
* Education: Bachelor’s degree in information technology, Computer Science, Artificial Intelligence, or a related field
* Core Technologies: TensorFlow, PyTorch, Python, Scikit-learn, AWS Ecosystem (SageMaker, Bedrock, NextFlow), Vector DBs.
* Integration Capabilities: ASP.NET Core, RESTful APIs, Microservices, SQL/NoSQL, Git, Docker, MLOps.
* Domain Knowledge: Experience with healthcare, genomics, or large-scale clinical dataset workflows is highly preferred.
* Strong communication skills to articulate AI solutions to both technical and non-technical stakeholders.
📩 How to Apply: Send your updated CV directly to hr@techbay.io keep the subject AI Integration Developer or whatsapp at +97338024430 apply below!