Experience: 5+ years

Role Overview:

We are looking for an experienced UI Developer with strong expertise in React, Next.js, TypeScript, HTML and CSS to design and build modern, responsive, and high-performance web applications. You will work closely with UX designers, backend engineers, and product stakeholders to translate requirements and designs into scalable, maintainable, and user-friendly interfaces.

The role requires a solid understanding of frontend architecture, best practices, and performance optimization, with a strong focus on clean code, reusability, and accessibility.

WHAT YOU'LL DO

As Commercial Business Analyst, you are responsible for driving the strategic insight work and analysis of our merchandising through advanced data, customer and consumer insights in regard to our product. You will independently be able to set the scope and initiate analysis deepening on the need of the merchandising organization, demonstrate leadership, analytical prowess, and a deep understanding of industry trends.​

​You have a deep interest in retail analytics, inventory optimization and merchandising strategy development. You are customer and sales-driven professional with a strategic mindset. You thrive working in a fast pace, in and agile environment. You are natural team player that strives to foster collaboration across channels, roles and functions.​

Key responsibilities​

• Conduct in-depth analysis of sales trends, customer behaviors and market dynamics to identify growth opportunities and areas for improvement; using statistical models and forecasting techniques to drive data driven decision-making.​

• You stay abreast of industry trends, competitor product strategies, and emerging technologies to challenge current plans, maintain competitive advantage and support executional excellence by supporting with market intelligence in how to position, activate and optimize our offers.​

• Analyze (and align with Customer Activation) SEO insights to support the SEO with our assortment strategy in close collaboration with merchandising managers / ecommerce leads as well as drive insights to support assortment strategy for all our channels; retail, digital and marketplaces.​

• You drive projects and build business cases for new product categories, sales channels and other business opportunities to support new sales and profit growth.​

• Follow up on our full (omni, retail and ecom) commercial initiatives and build strong case for improvement in our discount strategy, leveraging web analytics, customer insights, sales and cost data; enabling best possible commercial decision.

Job Description:

As an Applied Computer Vision Engineer focused on Data Driven Development, you will be a critical part of our feature team, responsible for building and scaling the infrastructure that powers our advanced perception systems. You will architect and implement the robust data pipelines and cloud-native workflows that enable the development, training, and evaluation of next-generation computer vision models. This role is ideal for an engineer passionate about data systems, MLOps, and enabling large-scale machine learning. 

Responsibilities Design, implement, and maintain scalable data pipelines and cloud-based workflows for computer vision applications. Architect efficient database schemas, queries, and end-to-end data pipelines to support large-scale data operations. 

Develop and scale Azure-based data pipelines to manage high-throughput workloads, including the processing, versioning, and management of millions of images. Build, automate, and manage robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow. 

Integrate ML pipelines seamlessly with cloud storage and compute services, particularly Azure Blob Storage and Azure ML Compute. Analyze existing models and data workflows to identify and implement performance improvements and optimizations. 

Implement best practices for data quality, monitoring, and infrastructure-as-code. Document system architecture, data flows, and operational procedures. 

Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. 

Experience: 2-4 years of professional experience in data engineering, MLOps, or a similar role supporting machine learning workflows. 

Core Skills: Proven experience designing and implementing scalable data pipelines and cloud-based workflows. 

Strong proficiency with cloud platforms, specifically Azure (AzureML, Azure Blob Storage, Azure ML Compute). 

Hands-on experience with data processing and orchestration tools such as Databricks or Ray. Proficiency in containerization technologies, especially Docker. 

Experience building or maintaining training/evaluation pipelines using PyTorch or TensorFlow. Experience with or exploration of data visualization and analysis tools (e.g., Voxel). 

Programming: Proficiency in Python and a strong understanding of object-oriented programming.

 Tools: Familiarity with essential software development tools like Git and working in a Linux environment. 

Additional Qualifications Master’s degree in a relevant field. Prior experience in the ADAS, autonomous driving, or robotics domains. Experience with other cloud platforms (e.g., AWS, GCP). Knowledge of model optimization and deployment (e.g., TensorRT, ONNX). Hands-on experience with C++ is beneficial.