AI Engineer
Lisbon-remote, Portugal
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.
Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!Job DescriptionResponsibilities
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.
At least 7-9 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.
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
Join us today and let’s create a success story together!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure BERT Big Data Computer Science Deep Learning E-commerce Engineering Feature engineering GCP Generative AI GPT Hadoop Machine Learning ML models NLP NumPy Pandas Python PyTorch RAG Security Spark SQL TensorFlow Transformers
Perks/benefits: Career development Flex hours Flex vacation Startup environment
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