We are seeking a Machine Learning Engineer to enhance our data science and ML capabilities, supporting current and upcoming projects. The ideal candidate will have strong expertise in developing, deploying, and optimizing predictive models, as well as working with modern ML platforms in a cloud environment. You will collaborate closely with product and engineering teams to deliver data-driven solutions that directly impact business outcomes. Candidate Requirements Core Skills: * Proven experience in building and optimizing ML models for predictive analytics, regression, forecasting, and categorization tasks. * Strong proficiency in Python, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch, for end-to-end model development and deployment. * Hands-on expertise with cloud ML platforms (Google AutoML, AWS SageMaker) to accelerate and scale model training. * Solid knowledge of data processing with SQL, BigQuery, or Spark, including data wrangling, feature engineering, and large-scale workflows. * Practical understanding of model lifecycle management, including version control, monitoring, retraining, and optimization. * Experience integrating ML solutions into cloud-based data pipelines and APIs, ensuring production-level reliability. * Familiarity with MLOps practices, including CI/CD workflows for ML, containerization with Docker, and orchestration with Kubernetes. * Strong background in statistical modeling, experimentation, and A/B testing to validate and improve model performance.
Languages: * English — B2 (Upper-Intermediate) or higher
Responsibilities * Develop, evaluate, and optimize ML models for predictive analytics, forecasting, and categorization. * Build and maintain scalable data pipelines and integrate ML solutions into production environments. * Apply feature engineering, data wrangling, and statistical modeling techniques to improve model performance. * Manage model lifecycle (monitoring, retraining, versioning) and ensure scalability. * Collaborate with product managers, engineers, and analysts to align business requirements with technical solutions. * Participate in A/B testing and experimentation to validate model performance. * Contribute to MLOps best practices and enhance CI/CD workflows for ML projects.
Extra Benefits * Opportunity to work with cutting-edge ML platforms and cloud technologies * Supportive and collaborative international team * ⏰ Flexible working schedule * Fully remote work with the ability to work from anywhere
