Machine Learning Engineer

Warsaw - Poland

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Position: Machine Learning Engineer

Key Responsibilities

Model Development & Deployment:

Design build and optimize end-to-end machine learning pipelines including data ingestion feature engineering model training validation and deployment.

Implement best practices for model versioning testing and continuous integration/continuous deployment (CI/CD) in production environments.

Data Analysis & Feature Engineering:

Work with large datasets to extract clean and prepare data for modeling. Develop innovative algorithms and robust statistical models to solve complex business challenges.

Collaboration & Communication:

Collaborate with cross-functional teams (data science software engineering product management) to integrate machine learning solutions into core products.

Present findings and model insights to technical and non-technical stakeholders.

Performance Monitoring & Optimization:

Monitor and evaluate model performance post-deployment; identify troubleshoot and resolve production issues.

Stay current with emerging trends and technologies in machine learning and propose enhancements to current systems.

Required Qualifications

Bachelors or Masters degree in Computer Science Data Science Electrical Engineering Mathematics or a related field.

Experience in machine learning engineering or a similar role.

Proficiency in Python and experience with machine learning frameworks (e.g. TensorFlow PyTorch scikit-learn).

Solid understanding of statistical methods data structures and algorithm design. Experience with data processing tools and frameworks (e.g. Pandas NumPy) and familiarity with SQL.

Practical experience with cloud platforms (AWS Google Cloud Platform or Azure) and containerization (Docker Kubernetes) is a plus.

Managing big data (5 years) is a plus.
Experience in banking iGaming or fintech is a plus.

Preferred Qualifications

Experience in MLOps including model monitoring and automated deployment. Familiarity with deep learning natural language processing or computer vision applications. Proven track record of building and deploying scalable machine learning solutions in a production environment.

Experience with recommendation systems is a plus.

Experience with predicting the life cycle of customers is a plus.

Excellent teamwork skills and a passion for continuous learning and innovation.

Position: Machine Learning Engineer Key Responsibilities Model Development & Deployment: Design build and optimize end-to-end machine learning pipelines including data ingestion feature engineering model training validation and deployment. Implement best practices for model versioning testing...