Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.
Be involved in strategic projects from offer phase to delivery Your profile: Bachelor or Master's Degree in the field of Manufacturing and Aeronautical Engineering Technical Experience (~5 years): Solid hands-on experience in production environments (blue-collar background preferred), ideally with exposure to Manufacturing Engineering activities.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
What you will do Perform high-quality manual testing across multiple client e-commerce projects (Desktop, Mobile Web and Tablet), covering the complete customer journey from discovery to checkout Collaborate closely with frontend developers and project teams to understand client requirements and develop tailored testing strategies for each implementation Oversee quality across diverse client implementations while ensuring consistent excellence and optimal user experiences Take ownership of bug reports and tickets from clients, internal stakeholders, and end-users, prioritizing them based on business impact and project timelines Contribute to the development and evolution of SCAYLE Agency’s testing framework and automated testing strategy across client projects Act as a quality advocate within cross-functional agency teams, promoting best practices and driving continuous improvement across multiple client engagements Coordinate testing efforts across parallel client projects to ensure successful delivery of high-quality features within agency timelines Support holistic testing approaches across the full technology stack, understanding how frontend integrations connect with SCAYLE’s backend systems and third-party services Adapt testing strategies to accommodate varying client requirements, brand guidelines, and technical specifications Who you are You have minimum of 5 years of experience in quality assurance, testing, and debugging of frontend applications, preferably in agency or client-facing environments Proficient in manual testing techniques, including exploratory and destructive testing, as well as automated testing methodologies Familiarity with project management and ticketing tools such as Jira and Confluence for effective collaboration across agency teams and client stakeholders Strong knowledge and experience with testing tools, particularly TestRail, for efficient test management and comprehensive reporting Ability to quickly understand complex, custom-built e-commerce implementations and adapt testing approaches to different client architectures Web technologies: Solid understanding of HTML, CSS, JavaScript, browser developer tools, and REST APIs Experience working with agile methodologies in fast-paced agency environments with multiple concurrent projects Passion for delivering innovative, client-specific features quickly while maintaining the high reliability standards expected by premium brands Detail-oriented approach with strong focus on test case design, business value, brand consistency, and exceptional user experience Excellent communication skills for working directly with high-profile clients and articulating technical issues clearly Nice to have Experience with CI/CD pipelines (e.g., GitLab CI) and integrating automated tests into deployment workflows Knowledge of web performance testing (e.g., Lighthouse, Web Vitals) and optimization for enterprise e-commerce Familiarity with web accessibility (a11y) standards and testing, particularly for compliance-focused clients Previous experience in an agency environment or working on multiple concurrent client projects Understanding of SCAYLE’s modular architecture, Storefront SDKs, and Feature Packages Experience testing headless commerce implementations and API integrations Knowledge of international e-commerce requirements (multi-language, multi-currency, regional regulations) Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Company parties Help in the relocation process Mobility subsidy State-of-the-art technology Central Location Flexible Working Hours Company pension Professional training Dog-friendly office AY Academy Feedback Culture Job Bikes YOU ARE THE CORE OF SCAYLE.