Digital Innovation Leader

5 days ago


Stockholm, Stockholm, Sweden Scania Nederland B.V. Full time

Our team is working on a transformative project that aims to democratize access to knowledge and artificial intelligence, fostering a transition towards a sustainable transport system.

The Challenge

We are looking for an experienced AI Engineer to join our team and contribute to the technical development of the Generative AI platform.

Key Responsibilities
  1. Leading the technical development of the Generative AI platform.
  2. Contribution to the strategic direction of the Generative AI area, working closely with the team.
  3. Developing, testing, and deploying AI models, either from scratch or using the existing platform.
  4. Statistical analysis and interpretation to optimize AI model performance and systems.
  5. Development of self-service Generative AI services.
  6. Supporting the implementation of LLMOps within the team.
  7. Contributing to setting AI best practices and methodologies.
  8. Collaboration with cross-functional teams to identify business needs and develop valuable solutions.
About You

Requirements 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, Sparse Retrieval, Hybrid Retrieval, Embedding Techniques, Vector Databases, Query Understanding and Expansion, Context-Aware Retrieval, Evaluation Metrics, Prompts, Optimizers.
  • Background in fine-tuning mechanisms, including familiarity with the latest models such as GPT-3.5/4/4o, LLAMA, and Domain-Specific Fine-Tuning.
  • Ability to build self-supervised corpora, Q&A pair templates, RHLF, prompt engineering templates.
  • Background in Data Collection and Curation, Preprocessing, Exploratory Data Analysis (EDA), Feature Engineering, Data Augmentation and noise removal Techniques, and familiarity with Large-Scale Datasets, Data Lakes.
  • Experience in Model Versioning, Experiment Tracking, CI/CD for ML, Monitoring and Logging, Reproducibility and Provenance, Containerization, Orchestration.
  • Familiarity with Multi-Agent AI frameworks and agentic patterns.

Desirable Skills and Tools

  • Python.
  • PyTorch/TensorFlow.
  • Transformers.
  • Git.
  • Docker.
  • SQL.

Our company offers a dynamic work environment with opportunities for growth and development.



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