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Data Scientists/ ML Engineer - (AI/ML Specialists)

Unlock employer Manama, Bahrain Posted: 09 Dec 2025

Financial

  • Estimate: $40k - $60k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The company is currently looking for Data Scientists/ ML Engineers for our Bahrain operations with the following skillsets and terms & conditions.

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Location
Bahrain

Requirements

  • Bachelor’s Degree in Computer Science / Engineering (Preferably BE Computer Science & Engineering)
  • 7 – 10 years of experience in banking, financial institutions, or insurance within AI/ML solutions
  • Proven hands-on delivery experience with Gen AI solutions such as chatbots and document analysis

Professional Training Required

  • Machine Learning, Deep Learning, MLOps, AI in Financial Services

Professional Certifications Required

  • 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
  • Ability to build and deploy ML models using Python and relevant libraries
  • Understanding of supervised and unsupervised learning algorithms

Job Responsibility

  • Design and develop machine learning models to support AI-driven banking solutions
  • Collaborate with data engineers to access and prepare data for modeling
  • Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit scoring)
  • Evaluate model performance and optimize for accuracy, precision, and recall
  • Deploy models into production using MLOps frameworks and CI/CD pipelines
  • Ensure models are explainable, auditable, and compliant with regulatory standards
  • Work with business stakeholders to identify AI opportunities and define success metrics
  • Document model assumptions, data sources, and performance benchmarks

Core AI / NLP Engineering

  • Proficiency in Python (PyTorch, TensorFlow, LangChain, etc.)
  • Experience with Retrieval-Augmented Generation (RAG) and vector databases
  • Knowledge of embeddings, tokenization, and transformer architecture

Software Engineering & Backend Integration

  • Experience with RESTful and GraphQL APIs, webhooks
  • Familiarity with containerization and deployment (Docker, Kubernetes, CI/CD)
  • Integration with enterprise data systems

Joining time frame
15 - 30 days

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