Senior Machine Learning Infrastructure Engineer, Fintech
Tasks
- Build and evolve ML pipelines
- Build and manage CI/CD pipelines
- Deliver real time microservices
- Design and develop ML lifecycle microservices
- Design and develop machine learning algorithms
- Develop and deploy Airflow workflow pipelines
- Develop and maintain large scale Spark jobs
- Develop automation scripts
- Improve feature engineering engine
- Improve scalability and stability of ML workflows
- Operationalize ML solutions for credit risk management
- Optimize Spark jobs through tuning and refactoring
- Partner with engineers to deliver business value
- Perform data exploration and analysis for ML proof of concepts
Perks/Benefits
- CSR activities and festive events
- Continuous training
- Extra day off on birthday
- Flexible remote work
- Multicultural work environment
- On site restaurant with meal options
- Online training access
- Performance bonus
- Private healthcare insurance
- Tech gear provided
- Wellbeing activities access
Skills/Tech-stack
API Development | Apache Airflow | Bash | CI/CD | Docker | Feature Engineering | Hadoop | Java | Jenkins | Job tuning | Linux | MLOps | Machine Learning | Microservices | PySpark | Python | SQL | Scala | Spark Job Tuning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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