Senior NLP Engineer - SCT RAE AI (TM)

Your tasks

Do you have a passion for artificial intelligence (AI) and a knack for building innovative solutions for sustainable and connected mobility? Are you eager to leverage natural language processing (NLP) and large language models (LLMs) for shaping the future of automotive engineering processes? If so, then we want to hear from you!

In the Business Area Software and Central Technologies, our Research and Advanced Engineering team is looking for a talented and experienced Senior NLP Engineer to join our growing team. In this role, you will play a key part in designing, developing, and deploying cutting-edge NLP solutions that will drive innovation of our engineering processes.

This is a unique opportunity for a highly motivated individual to collaborate with a team of passionate experts and drive the adoption of AI & NLP technologies in the automotive sector. We foster a culture of innovation and continuous learning, where you'll be encouraged to explore the latest advancements in NLP & LLMs and translate them into tangible solutions. 

Description

  • Design and implement innovation projects in the field of AI & NLP for automotive engineering processes with a strong focus on large language models.
  • Fine-tune and optimize language models for domain-specific use cases in partnership with our business units to achieve high accuracy and performance.
  • Design and implement agentic workflows and prompts for leveraging LLMs in applications.
  • Promote the adoption of NLP & LLMs for engineering processes and beyond.
  • Collaborate with research engineers, data scientists, software engineers, project managers, and product owners to ensure the successful integration of NLP models into our processes.
  • Evaluate and monitor the performance of NLP models in production, and identify areas for improvement.
  • Develop and maintain clear and concise documentation for NLP models and systems.

Stay up-to-date on the latest advancements in the field of NLP & LLMs and share your knowledge with the team and the organization.

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Your profile

  • MSc or PhD in computer science, artificial intelligence, mathematics, or a related field;
  • Minimum 4+ years of experience in NLP engineering or a related field;
  • Strong proficiency in programming languages such as Python and experience with NLP libraries and deep learning frameworks;
  • In-depth knowledge of machine learning algorithms and techniques for NLP tasks;
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus;
  • Previous experience in the automotive industry is a plus;
  • Excellent communication (English), collaboration, and problem-solving skills;
  • A passion for innovation and a desire to push the boundaries of NLP for automotive engineering processes and beyond.
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Our offer

What we offer:

Pay for Performance:

  • Achievement Bonuses and Rewards;
  • Relocation Bonus for non-Timisoara Residents;
  • Recommendation Bonuses for new team members;
  • Flexibility Program including flexible hours, mobile work and sabbaticals.

Wellbeing:

  • Health & Wellness (Private Health Insurance, Life Insurance, Sport activities etc.);
  • Different discounts (glasses, tires, medical, shopping);
  • In-house restaurant & coffee corners.

Life-Long Learning:

  • Technical, Soft Skills & Leadership trainings;
  • Dedicated Programs and Conferences;
  • Free Language Courses (English, German, French etc);
  • Access to e-learning platforms;
  • Career development opportunities (local and international);
  • Internal development communities (Experts, Agile Community of Practice, Artificial Intelligence etc).

Ready to drive with Continental? Take the first step and fill in the online application.

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About us

Continental 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 56 countries and markets.

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