ML Software Engineer
ML Software Engineer
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Job Description
Its fun to work in a company where people truly BELIEVE in what theyre doing!
Were committed to bringing passion and customer focus to the business.
About Us
Kyriba is a global leader in liquidity performance that empowers CFOs Treasurers and IT leaders to connect protect forecast and optimize their liquidity. As a secure and scalable SaaS solution Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyribas real-time data and AI-empowered tools empower its 3000 customers worldwide to quantify exposures project cash and liquidity and take action to protect balance sheets income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information visit.
Position Overview
We are seeking a Software Engineer to integrate and implement standard machine learning models (such as classification regression clustering) into our production systems. This role focuses on incorporating pre-trained ML models into our existing applications and data flows ensuring reliable and efficient implementation.
Key Responsibilities
- Integrate pre-trained ML models (scikit-learn XGBoost etc.) into production systems
- Implement model serving solutions for classification and regression tasks
- Develop data preprocessing and transformation pipelines
- Ensure efficient model inference in production environments
- Build monitoring systems for model performance and data drift
- Optimize model serving for latency and throughput
- Implement proper error handling and fallback mechanisms
- Create documentation for model integration and maintenance
Required Qualifications
- Bachelors degree in Computer Science Software Engineering or related field
- 3 years of experience in software development
- Strong programming skills
- Experience with ML libraries (scikit-learn XGBoost LightGBM)
- Proficiency in data preprocessing and feature engineering
- Strong understanding of RESTful APIs and microservices
- Experience with version control (Git) and CI/CD pipelines
- Knowledge of SQL and database systems
Technical Skills
- Programming Languages: Python Java
- ML Libraries: scikit-learn XGBoost LightGBM
- Model Serving: Flask FastAPI or similar
- Data Processing: pandas numpy
- Databases: SQL NoSQL
- Version Control: Git
- Containers: Docker
- CI/CD Tools: Jenkins GitLab CI or similar
- Monitoring Tools: Prometheus Grafana or similar
Preferred Qualifications
- Experience with model versioning and deployment tools
- Knowledge of feature stores and model registry concepts
- Understanding of statistical analysis and data validation
- Experience with distributed computing
- Familiarity with A/B testing and experiment tracking
- Experience with cloud platforms (AWS Azure or GCP)
Key Competencies
- Strong software engineering practices
- Understanding of ML model lifecycle
- Data structure and algorithm expertise
- Performance optimization skills
- System design and architecture
- Production monitoring and troubleshooting
Soft Skills
- Strong problem-solving abilities
- Excellent communication skills
- Attention to detail
- Team collaboration
- Technical documentation skills
- Project management capabilities
Employment Type
Full-Time
