Senior Machine Learning Engineer

What we’re looking for: We’re seeking a hands-on, results-driven Machine Learning Engineer to design and deploy intelligent systems that drive customer value and business insights at scale. You’re someone who thrives on collaboration, values clean and reproducible code, and is energized by turning complex data into actionable models. This is a hybrid (preferred) / remote position; however, to be eligible for hire, candidates must reside within the Czech Republic or Slovakia, with in-office presence for onboarding. 3+ years of experience building, deploying, and optimizing machine learning models in production environments Proficiency in Python (preferred), with experience using frameworks like Scikit-learn, PyTorch, or TensorFlow Strong software engineering principles (version control, CI/CD pipelines, modular code design) Experience with data manipulation, and ETL tools like Pandas, Spark, SQL, Dbt, Airflow Understanding of MLOps practices and familiarity with cloud platforms (AWS, GCP, or Azure) Solid grasp of statistical modeling, supervised/unsupervised learning, model evaluation, and experiment design methodologies Fluency in AI-assisted engineering, using tools like Copilot, Claude Code, or Cursor as a natural part of the workflow Strong interpersonal skills when working with business partners across the organization Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field; Master’s preferred What you’ll do: Build, train, and deploy machine learning models to support initiatives in customer intelligence, personalization, recommendation, forecasting, NLP and computer vision Partner with business stakeholders, and engineers to deliver scalable solutions that enhance the customer experience and business performance Operationalize ML pipelines using modern MLOps practices (e.g., automated retraining, monitoring, CI/CD) Optimize model performance, accuracy, and fairness through iterative testing and improvement Colla