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AI & ML Engineer
MultiBank GroupAI & ML Engineer at MultiBank Group developing scalable AI systems. Focused on delivering high-performance solutions leveraging machine learning technologies.
Tech Stack
Tools & technologiesAWSCloudGRPCMicroservicesPython
About the role
Key responsibilities & impact- Design, train, and deploy machine learning models across use cases such as recommendation systems, churn prediction, fraud detection, and behavioral scoring
- Build modular ML pipelines for feature engineering, training, validation, and inference
- Implement deep learning and NLP models, including transformer-based architectures for text and sequence data
- Develop and deploy LLM-based applications
- Integrate models into production systems via REST/gRPC APIs and microservices
- Implement MLOps pipelines using CI/CD, versioning, and monitoring tools
- Monitor model performance, detect drift, and implement automated retraining strategies
- Optimize models for latency, throughput, and cost in cloud environments
- Work closely with Data Engineers to ensure scalable and efficient data access
- Evaluate and integrate new AI frameworks and tools to continuously improve performance
Requirements
What you’ll need- Strong Python programming with ML libraries
- Experience building and deploying models in cloud environments (AWS preferred)
- Strong understanding of ML algorithms
- Experience with NLP, LLMs, or time-series modeling
- Hands-on experience with MLOps tools
- Experience building real-time inference systems
- Strong understanding of data pipelines and feature engineering
- Ability to write production-quality, scalable code
Benefits
Comp & perks- Competitive salary plus performance-based incentives
- Access to a dynamic, international, and fast-growing environment
- Strong opportunities for career progression within a global financial group
- Be part of a business committed to innovation, excellence, and long-term growth
ATS Keywords
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Hard Skills & Tools
Pythonmachine learningdeep learningNLPtransformer-based architecturesMLOpsreal-time inference systemsfeature engineeringcloud environmentsML algorithms