AI Engineer

March 6

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AUTODOC

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AUTODOC is the leading technology ecosystem connecting all stakeholders in the automotive aftermarket. It is the largest and fastest-growing e-commerce platform for vehicle parts in Europe, operating in 27 countries with local domains available in 23 languages. Founded in 2008 in Berlin, AUTODOC has become one of Europe's most exciting internet companies, generating a revenue of over 1. 3 billion euros in 2023. The company offers 5. 8 million products from 2300 brands for car, truck, and motorcycle manufacturers, providing reliable solutions for all parties involved in the market. With a diverse team of around 5000 employees across ten sites, AUTODOC is committed to its entrepreneurial spirit and a unique business model that delivers outstanding value to its customers.

e-commerce • online retail • automotive spare parts e-commerce • internet • online

5001 - 10000 employees

Founded 2008

🛍️ eCommerce

🚗 Transport

👥 B2C

📋 Description

• Design and develop architectural solutions utilizing foundational models, AI components, and scalable platforms to address complex business challenges. • Create detailed specifications for AI-based products and services, such as conversational agents, document intelligence systems, and personalized recommendation engines. • Build and implement frameworks like Retrieval-Augmented Generation (RAG) and Knowledge Graphs to enable complex data relationships and contextual understanding. • Lead technical planning, architecture development, and specification modifications to meet evolving business and technical needs. • Assess and ensure compatibility among AI platforms, tools, and models to deliver cohesive and high-performing solutions. • Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to align AI solutions with business objectives and customer requirements. • Evaluate the effectiveness of deployed AI models, documenting insights and driving iterative improvements for enhanced performance and outcomes. • Stay updated on advancements in foundational models and emerging AI technologies, integrating state-of-the-art capabilities into solutions. • Develop and deploy scalable APIs and frameworks to integrate machine learning models into production environments for robust operational performance. • Mentor and train junior staff, providing technical guidance and sharing best practices to strengthen team capabilities. • Serve as a quality and best-practices resource, resolving complex challenges and offering expertise in specialized areas. • Ensure solutions are designed with scalability, security, and maintainability, supporting long-term organizational goals and growth.

🎯 Requirements

• At least 5 years of experience in a similar role/area • Educational Background : Master’s degree in Computer Science, Engineering, or a related field. • Programming Skills : Strong proficiency in Python and deep learning libraries (e.g., TensorFlow, PyTorch). • Proficiency in designing architectures leveraging foundational models, AI platforms, and deep learning technologies. • AI and NLP : Excellent understanding of natural language processing, including experience with language models (e.g., GPT, BERT, transformers) for text analysis and generation tasks. • Generative AI and RAG : Familiarity with Retrieval-Augmented Generation (RAG) methods and tools to enhance model output with relevant, context-based information retrieval. • Knowledge Graphs : Experience in building and querying Knowledge Graphs or similar data structures to support intelligent data connections is highly desirable. • Deep Learning : Strong knowledge of deep learning architectures and algorithms (e.g., CNNs, RNNs, attention models) and their application to real-world scenarios. • Data Processing and Analysis : Proficiency in data preprocessing, feature engineering, and analysis using tools like Pandas, NumPy, and SQL. • Cloud and Deployment : Experience with cloud platforms (AWS, GCP, or Azure) and deploying ML models in a production environment. • Big Data Tools : Basic understanding of big data frameworks (e.g., Spark, Hadoop) to manage and process large datasets. • Independence and Leadership . Operates independently to apply expertise in developing and deploying scalable AI components and platforms.

🏖️ Benefits

• Competitive salaries based on your professional experience • Annual vacation of 25 working days and 1 additional day off on your birthday • Meals Allowance • Healthcare Insurance • Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues. • AUTODOC Corporate Discount • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching • Free English and German language classes • Referral Program with attractive incentives • Flexible working hours and hybrid work • Fast growing international company with stable employment