Senior Software Engineer - AI job opportunity at Bloomreach.

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Bloomreach Senior Software Engineer - AI
Experience: 1-year
Pattern: remote
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Software Engineer

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degreeGraduate Certificate
Slovakia

Join our #Artificial #Intelligence team as a Senior #Software #Engineer (with 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. Your starting salary will be 3 700 EUR gross per month, along with stock options and other benefits. We offer remote work in Central & Eastern Europe, with optional office space in Bratislava, Brno, or Prague on a full-time basis, you´ll become a core part of the Engineering Team. __ You'll face the exciting challenge of building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. __ You'll work alongside a team to overcome the unique challenges of building and running ML #models in a SaaS environment, including managing data complexity, optimizing for performance, and ensuring model robustness. __ You will cooperate with your teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery (from ideation to production) by applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. __ 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 (to configure the features) as well as the 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. __ 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, identify potential issues, and optimize for accuracy and efficiency. __ Contribute to developing and implementing DevOps and MLOps best practices within the team. __ 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, including troubleshooting issues, fixing bugs, and implementing enhancements. __ Support our 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.

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