AI Engineer

Scania is currently undergoing an exciting transformation from a traditional truck manufacturer to a provider of complete sustainable transport solutions. IT is a crucial part of this transformation as Scania’s success depends on flexible and efficient IT solutions that support current and future business requirements. 

Our vision  
To drive the shift by democratizing the access to knowledge and artificial intelligence fostering the transition towards a sustainable transport system. We are currently working with key initiatives ongoing to leverage AI not only for productivity gains but to fundamentally enhance and transform our current processes or even create new business opportunities across Scania and TRATON.

The Mission
In this rapidly evolving team, we’re seeking an experienced AI Engineer to help lead our mission to democratize the access to knowledge and artificial intelligence capabilities, transforming how information is consumed, analyzed, utilized and knowledge generated. We are working on enable this through innovation and by providing the necessary tools, setting up the necessary governance, and providing a great user experience”. The ideal candidate will work with the team on both developing the platform as well as supporting the implementation of business cases in order for us as an enabling team to drive and move the area forward within Scania.

Your role
•    Lead and contribute to the technical development of the Generative AI platform.
•    Contribute towards the strategy and roadmap for the Generative AI area, together with the team.
•    Building, testing and deploying AI models from scratch or using the existing platform.
•    Conducting statistical analysis and interpreting the results to optimize the performance of AI models and systems
•    Developing self-service Generative AI services
•    Support the implementation of LLMOps within the team.
•    Support and contribute to setting AI best practices and methodologies.
•    Work closely with cross-functional teams to capture the business needs and develop valuable solutions.
•    Serve as ambassador for the area of generative AI and the AI platform both internally and externally, sharing knowledge and answering questions.

Must have skills and qualifications
•    Understanding of Transformer Architectures (BERT, GPT, T5 etc), Named Entity Recognition (NER) using Spacy Models and libraries like NLTK,Langchain Loaders,Sentiment Analysis, Topic Modeling, Text Summarization
•    Experience in creating optimized RAG applications: Dense Retrieval mechanisms (e.g., DPR, ColBERT), Sparse Retrieval (BM25, TF-IDF etc.), Hybrid Retrieval (HyDE), Embedding Techniques and retrievers,Vector Databases (Faiss, Pinecone, others), Query Understanding and Expansion (Chain of Thoughts, Tree-of-Thoughts, etc.), Context-Aware Retrieval, Evaluation Metrics (Relevance, Factual Accuracy, Coherence, Diversity, Perplexity etc), Prompts (e.g., QuestionAnswerPrompt, RefinePrompt), Optimizers (e.g., OptimizerChain) 
•    Experience with fine-tuning mechanisms
•    Familiarity with the latest models such as GPT-3.5/4/4o, LLAMA, and Domain-Specific Fine-Tuning.
•    Experience in building self-supervised corpora, Q&A pair templates, RHLF, prompt engineering templates.
•    Data Collection and Curation, Preprocessing, Exploratory Data Analysis (EDA), Feature Engineering, Data Augmentation and noise removal Techniques, familiarity with Large-Scale Datasets, Data Lakes
•    Model Versioning, Experiment Tracking (Mlflow/Kubeflow, Weights & Biases), CI/CD for ML, Monitoring and Logging, Reproducibility and Provenance, Containerization (Docker), Orchestration (Kubernetes)
•    Familiarity with Multi-Agent AI frameworks and agentic patterns

Programming & Tools
•    Python,
•    PyTorch/TensorFlow,
•    Keras,
•    Hugging Face,
•    Transformers,
•    Git,
•    Docker,
•    SQL

Good to have
•    Knowledge about Cloud Platforms (AWS, Azure), Model Serving (Flask, FastAPI), Model Compression
•    Knowledge and familiarity with Traditional machine learning

Our offer to you
We offer the possibility to work remotely or hybrid within Sweden with a competitive salary, flexible working hours, and an educational establishment that enables a personalized career path with courses and programs to develop your skills. As a Scania employee, we also offer you benefits such as a company car, company bonus, parental benefits, and a wide range of sports clubs and a free Health Centre with a gym, classes, and much more. If you live in Stockholm, we offer a direct bus between Stockholm and Södertälje with Scania Job express.

Further information
If you have any questions about the position, contact hiring manager Joao Dias-Ferreira +46 7 65 166 729. 
Due to the upcoming holiday season, we will begin the process after the end of week 32. Thank you for your understanding and patience during this time. A background check might be conducted on the final candidate for this position.