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Careers at Redcare Pharmacy

Browse and filter through all verified positions currently open at Redcare Pharmacy.

Total Company Roles33
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All Openings (33)

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Staff ML Engineer, Product Recommendations (m/f/d)

On-sitefull timeLead / StaffDelaware, United States
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About your tasks: Work with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and business stakeholders. Provide technical leadership for our Recommendations product, helping define the architecture, technical direction, and longer-term evolution of our machine learning systems. Design, build, and operate machine learning systems for recommendation use cases such as candidate generation, ranking, personalization, product discovery, and recommendation optimization. Translate ambiguous business and product requirements into scalable ML solutions, balancing model quality, latency, reliability, scalability, and maintainability. Lead technical design and architectural decisions for complex ML initiatives and help the team navigate trade-offs across modeling, data, infrastructure, and product requirements. Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement. Bring models into production using our cloud-based stack and ensure they are reliable, observable, and maintainable over time. Identify technical risks, gaps, and opportunities across the recommendation stack and drive improvements that increase the effectiveness and scalability of the overall system. Communicate technical decisions, assumptions, limitations, and uncertainty clearly to product, engineering, and business stakeholders. Raise the technical bar through design reviews, mentoring, knowledge sharing, and by establishing ML engineering standards and best practices within and beyond the team. About you: You have extensive hands-on experience as a Machine Learning Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience. You have built and operated production-grade machine learning systems, pipelines, or model-based products and have taken technical ownership of complex ML systems. You have strong experience working with recommender systems, ranking, personalization, or related product discovery systems. You have demonstrated technical leadership, influencing architecture, engineering practices, and technical direction beyond your own individual contributions. You are comfortable working with complex data and understand common ML failure modes such as data leakage, feedback loops, distribution shifts, and misleading offline metrics. You can reason about system-level trade-offs and make pragmatic technical decisions across model quality, latency, reliability, scalability, and maintainability. You enjoy working close to the business and can explain complex technical topics and trade-offs clearly to technical and non-technical stakeholders. You take ownership of ambiguous, cross-cutting problems, work proactively, and can drive technical initiatives across team boundaries. You value collaboration, give and receive feedback openly, and actively help other engineers grow through mentoring and technical guidance. About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. And many more :)

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AI / ML & Data ScienceVia SmartRecruiters
Verified18 days ago

Mid-Level MLOps Engineer (m/f/d)

On-sitefull timeMid-LevelDelaware, United States
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About your tasks: Build and operate containerized services using orchestration platforms such as Kubernetes. Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services. Develop maintainable and well-tested Python code for production services, automation, and internal tooling. Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration. Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle. Contribute to technical designs and architecture decisions, and participate in code reviews. Integrate automated security checks into delivery pipelines and follow secure development and operations practices. About you: Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production. Solid software engineering skills in Python, including automated testing, version control, and code review. Hands-on experience with Docker and container orchestration platforms such as Kubernetes. Experience with CI/CD tools such as GitHub Actions or Jenkins. Familiarity with ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring; experience with tools such as MLflow or Kubeflow is welcome. A solid understanding of software architecture and secure software development and delivery practices. About your Benefits: In order to provide our employees with the best possible support for their individual needs, we offer a variety of attractive benefits: Work from Home: If your job doesn't require you to be in the office, you can be flexible about where you work – even up to 20 days a year from anywhere within the EU. Redcare Events: We promote team cohesion through creative team events and celebrate our joint successes at regular events. Mental Health: If you feel overwhelmed privately or professionally, you can get professional support from a psychologist quickly and easily via nilo - anonymously and free of charge. Personal development: We are all constantly learning. That's why we support and promote your professional development through internal and external training opportunities and help you to develop further. Mobility: Your commute to work is important to us. That's why we provide our employees with a fully funded Deutschlandticket, which you can use at any time. Sport & Health: Your well-being is our top priority. That's why we offer you various ways to do something for your health. Benefit from an M membership of the Urban Sports Club and take advantage of a wide range of sports to suit your interests.

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AI / ML & Data ScienceVia SmartRecruiters
Verified20 days ago

Senior Android Engineer, AdTech (m/f/d)

On-sitefull timeSeniorDelaware, United States
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About your tasks: Lead the design and development of scalable, maintainable, and high-performing Android applications using Kotlin and modern Android architecture patterns such as MVVM, MVI, and Clean Architecture . Define and evolve the Android application architecture , ensuring scalability, modularity, testability, and long-term maintainability. Drive the adoption and effective use of Jetpack Compose to build modern, declarative, reusable, and responsive user interfaces. Design and build reusable mobile components for Retail Media and advertising experiences , including Sponsored Products, Sponsored Brands, native placements, display banners, and personalized product recommendations . Integrate Retail Media placements naturally into product discovery, search, category, product detail, and other commerce journeys , balancing monetization objectives with a high-quality customer experience. Collaborate with backend, data, product, and ad server teams on APIs, tracking contracts, campaign metadata, targeting, attribution, and measurement requirements . Build flexible and configurable solutions that enable new ad formats, placements, campaigns, and monetization use cases to be introduced efficiently. Ensure best practices in modularization, code quality, testing, and performance optimization, define and evolve the app’s architecture, ensuring scalability and long-term maintainability Build reusable mobile components for Retail Media experiences, including Sponsored Products, Sponsored Brands, product recommendations, banners. Ensure engineering best practices across modularization, code quality, dependency management, observability, testing, security, and performance optimization . Improve CI/CD reliability, build performance , and release processes . Maintain clear and comprehensive documentation for architecture decisions, features, and technical processes Review and guide critical technical and architectural decisions , contributing to engineering standards and best practices across teams. Improve app stability, performance, and overall technical health . Reduce technical debt strategically while enabling product teams through platform improvements . Implement and evolve feature flags, experimentation frameworks, and A/B testing to validate new customer and advertising experiences through measurable outcomes. About you: Extensive experience in Android development with strong expertise in Kotlin. Deep understanding of the Android SDK and modern Android development practices. Hands-on experience with: Jetpack Compose Coroutines & Flow Dependency Injection (Hilt/Dagger) REST APIs (Retrofit/OkHttp) Strong knowledge of clean architecture principles, design patterns, and modularization Experience with testing (JUnit, Espresso, MockK) and writing maintainable, testable code Familiarity with CI/CD pipelines and modern development workflows Proven ability to take ownership of complex projects and deliver high-quality results independently Strong focus on performance, scalability, and user experience You collaborate effectively across teams and bring strong debugging and performance optimization skills. Experience working in Retail Media , AdTech, MarTech large-scale e-commerce platforms. About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. And many more :)

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Mobile EngineeringVia SmartRecruiters
Verified25 days ago

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