ML Software Engineer

Warszawa, mazowieckie
Stała
Pełny etat

2 miesiące temu

It's fun to work in a company where people truly BELIEVE in what they're doing!We're committed to bringing passion and customer focus to the business.About UsKyriba 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. Kyriba’s real-time data and AI-empowered tools empower its 3,000 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 OverviewWe 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

Bachelor's 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

Kyriba

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