Machine Learning Infrastructure Engineer, Fintech
Tasks
- Build CI/CD pipelines
- Build ML pipelines
- Build and manage feature engineering engine
- Collaborate with engineering and credit risk teams
- Deploy machine learning solutions
- Design ML lifecycle microservices and tools
- Design machine learning algorithms
- Develop and deploy Airflow pipelines
- Develop automation scripts
- Develop large scale Spark jobs
- Develop scalable real-time microservices
- Drive continuous improvement in development lifecycle
- Operationalize ML workflows
- Optimize ML workflows
- Perform data exploration and analysis
- Refactor codebase
- Support API development and deployment
- Tune Spark jobs
Perks/Benefits
- Access to online training platforms
- Continuous training
- Extra day off on birthday
- Flexible remote working
- Multicultural working environment
- Performance-based bonus scheme
- Private healthcare insurance
- Tech equipment provided
Skills/Tech-stack
API Development | Airflow | Bash | CI/CD | Data Exploration | Docker | Feature Engineering | Hadoop | Jenkins | Linux | MLOps | Machine Learning | Microservices | PySpark | Python | Real Time | Real-time Systems | SQL | Scala | Spark | Time Systems | Workflow Orchestration
Education
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