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
