Über das Unternehmen
Continental AG develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic, and transportation. In 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 57 countries and markets. We are at the forefront of AI innovation in the automotive and industrial sectors, shaping the future of human-machine interaction and intelligent systems.
Stellenbeschreibung
We are seeking a talented and passionate Hybrid Natural Language Processing Engineer to join our cutting-edge AI Research team in Raunheim, Germany. In this role, you will be instrumental in designing, developing, and deploying advanced NLP models and systems that power our next-generation automotive and industrial solutions. You will work on challenging problems, contributing to speech recognition, semantic understanding, sentiment analysis, and conversational AI within complex, real-world applications. This is a hybrid position, offering a blend of on-site collaboration and remote flexibility.
Hauptverantwortlichkeiten
- Design, develop, and implement state-of-the-art NLP models and algorithms for various applications, including speech interfaces, predictive text, and knowledge extraction.
- Conduct research into new NLP techniques, deep learning architectures, and machine learning methodologies to solve complex problems in AI.
- Pre-process, annotate, and manage large datasets for training and evaluating NLP models, ensuring data quality and relevance.
- Collaborate with cross-functional teams (e.g., software engineers, data scientists, product managers) to integrate NLP solutions into production systems.
- Evaluate and optimize NLP model performance, ensuring scalability, efficiency, and accuracy.
- Stay current with the latest advancements in NLP, machine learning, and AI research.
- Document technical designs, research findings, and implementation details clearly and concisely.
Erforderliche Fähigkeiten
- Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Strong understanding of machine learning and deep learning fundamentals, particularly in areas like neural networks, CNNs, RNNs, and attention mechanisms.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Demonstrated experience in building and deploying NLP models.
- Solid understanding of data structures, algorithms, and software design principles.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills in English, both written and verbal.
Bevorzugte Qualifikationen
- Master’s or Ph.D. in Computer Science, Linguistics, AI, or a related quantitative field.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI/ML models.
- Familiarity with MLOps practices and tools for model lifecycle management.
- Experience in the automotive, industrial, or IoT domains.
- Knowledge of German language is a plus.
Vorteile & Zusatzleistungen
- Competitive salary and comprehensive benefits package.
- Generous vacation policy and flexible working hours.
- Opportunities for professional development, training, and continuous learning.
- Access to cutting-edge tools and technologies.
- Collaborative and innovative work environment.
- Company pension scheme and employee assistance programs.
- On-site amenities and fitness programs.
So bewerben Sie sich
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