Role Description Join our Artificial Intelligence team as a Senior Software Engineer (with an overlap into ML Engineer) and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. Starting monthly compensation begins at 4000 EUR gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you´ll become a core part of the Engineering Team. What challenge awaits you? - Building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. - Cooperating with teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery. - Applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. - Building efficient workflows, automating processes, and fostering a culture of collaboration and innovation. Your job will be to: - Design & Deliver new features - Translate business requirements for ML-powered features into technical specifications and design documents. - Collaborate with data scientists to ensure new ML features' technical feasibility and scalability. - Define and develop back-office API endpoints as well as high-performance serving endpoints. - Develop and implement ML models, algorithms, and data pipelines to support new features. - Deploy and monitor new features in production, ensuring seamless integration with existing systems. - Ensure quality and performance of developed solution - Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing. - Implement monitoring systems and dashboards to track the performance of ML models in production. - Contribute to developing and implementing DevOps and MLOps best practices within the team. - Support and Maintain owned components - Maintain end-to-end features, encompassing back-office APIs, models, definitions, and high-performance serving APIs. - Provide ongoing support and maintenance for existing ML-powered features. - Support client-facing colleagues in the investigation of possible issues (L3 support). - Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing. Qualifications - Proven experience in Python engineering, with a strong focus on designing and maintaining AI/ML-powered features in production environments. - Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment. - Solid understanding of software architecture principles, particularly in the context of building and maintaining scalable and reliable APIs and microservices. - Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment. - Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.). Requirements - A genuine passion for learning new technologies and keeping up-to-date with the latest advancements in AI/ML. - Demonstrates strong initiative, ability to work within a team, and communication skills. - A commitment to delivering high-quality work and a dedication to continuous improvement. Benefits - A great deal of freedom and trust in the workplace. - Defined company values and behaviors embedded in processes. - Flexible working hours to accommodate your working style. - Virtual-first work environment with several Bloomreach Hubs available across three continents. - Company events to foster a global spirit. - 5 paid days off to volunteer. - Employee Assistance Program with counselors for non-work-related challenges. - Subscription to Calm - sleep and meditation app. - ‘DisConnect’ days for additional time off each quarter. - Extended parental leave up to 26 calendar weeks for Primary Caregivers. - Restricted Stock Units or Stock Options based on role, seniority, and location. - Participation in the company's success through performance bonuses. - Employee referral bonus of up to $3,000. - Celebration of work anniversaries - Bloomversaries!