
Artificial Intelligence Professional
4 days ago
Scania Nederland B.V. is committed to transforming its business by leveraging the power of artificial intelligence.
Job DescriptionAs an experienced AI Engineer, you will play a key role in our efforts to democratize access to knowledge and artificial intelligence, fostering a transition towards a sustainable transport system.
Key Responsibilities- Leading the technical development of the Generative AI platform.
- Contribution to the strategic direction of the Generative AI area, working closely with the team.
- Developing, testing, and deploying AI models, either from scratch or using the existing platform.
- Statistical analysis and interpretation to optimize AI model performance and systems.
- Development of self-service Generative AI services.
- Supporting the implementation of LLMOps within the team.
- Contributing to setting AI best practices and methodologies.
- Collaboration with cross-functional teams to identify business needs and develop valuable solutions.
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 opportunities for career growth and professional development.
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