> Markdown version of [/jobs/ext/2122502-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2122502-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** BloomReach Inc. - **Location:** Prague, OK, United States (Remote available) - **Experience:** Expert - **Salary:** $40,000.0 - $49,500.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Unit Testing, BigTable, BigQuery, Software as a Service, Software Debugging, Software Design Documents, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, MongoDB, Software Architecture, Redis, Tensorflow, Cloudera, Data Processing, Google Cloud, Data Storage Technologies, Pytorch, Grafana, Apache Spark, Gitlab, Git, Scikit Learn, Integration Tests, Sentry, Machine Learning Operations, Software Version Control, Data Pipelines, Pagerduty, Web Api, Programming Languages, Microservices - **Published:** August 19, 2026 - **Apply:** https://job-boards.greenhouse.io/bloomreach/jobs/7127781 ## About the Role * Programming languages - Python * Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, Dataproc, VertexAI * Data Storage and Processing - MongoDB, Redis, Spark, TensorFlow * Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty The owned area encompasses various domains such as Predictions, Contextual bandits, Autosegmentation, MLOps. Therefore, having experience in these areas would be beneficial. The team also works with large amounts of data and utilizes platforms and algorithms for model training and data processing & ML pipelines. Experience in these areas is highly valued., * 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.) Personal qualities * 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. Excited? Join us and transform the future of commerce experiences. ## Description 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. This will involve building efficient workflows, automating processes, and fostering a culture of collaboration and innovation. Your job will be to, * 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. b. 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, identify potential issues, and optimize for accuracy and efficiency. * Contribute to developing and implementing DevOps and MLOps best practices within the team. c. 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, 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., * We have a People Development Program - participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. * Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.* * Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. * Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*, * The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.* * Subscription to Calm - sleep and meditation app.* * We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. * We facilitate sports, yoga, and meditation opportunities for each other. * Extended parental leave up to 26 calendar weeks for Primary Caregivers.* ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)