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AI/ML Specialists (Data Scientists/ ML Engineer)

Unlock employer Manama, Bahrain Posted: 08 Dec 2025

Financial

  • Estimate: $90k - $130k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The company is currently looking for AI/ML Specialists (Data Scientists/ ML Engineers) for our Bahrain operations. The position requires a strong background in machine learning and artificial intelligence, particularly in financial services.

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Requirements

  • 7 – 10 years of experience in AI/ML with proven hands-on delivery experience in banking, financial institutions, or insurance
  • Bachelor’s Degree in Computer Science / Engineering, preferably BE in Computer Science & Engineering
  • Professional Training in Machine Learning, Deep Learning, MLOps, AI in Financial Services
  • Professional Certifications: Google Professional ML Engineer, Microsoft AI Engineer Associate, TensorFlow Developer Certificate, AWS Certified Machine Learning

Must-Have

  • Several years of ML experience with implemented use cases in Gen AI solutions such as chatbots and document analysis
  • Hands-on work experience primarily in banking, financial institutions, or insurance industries

Core AI / NLP Engineering

  • Proficiency in Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)
  • Experience with LLM fine-tuning (LoRA, PEFT, prompt tuning)
  • Knowledge of Retrieval-Augmented Generation (RAG) and vector databases (Pinecone, FAISS, Weaviate, Chroma)
  • Skills in prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)
  • Understanding of embeddings, tokenization, and transformer architecture
  • Familiarity with cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch
  • Experience in model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)

Software Engineering & Backend Integration

  • Knowledge of RESTful and GraphQL APIs, webhooks
  • Proficiency in containerization and deployment (Docker, Kubernetes, CI/CD)
  • Experience with authentication and user/session management
  • Understanding of data pipelines and microservices
  • Familiarity with frameworks like FastAPI, Flask, NestJS, or Express
  • Integration with enterprise data systems (SharePoint, Salesforce, SQL, internal APIs)

Joining Time Frame
15 - 30 days

Location
Manama, Bahrain

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