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AI Engineer

in 10115, Berlin, Berlin, Deutschland
Unternehmen: Meltwater
Vollzeit position
Verfasst am 2026-10-16
Berufliche Spezialisierung:
  • Software Entwicklung
    Maschinelles Lernen, Künstliche Intelligenz Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 85000 - 130000 EUR pro Jahr EUR 85000.00 130000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: AI Engineer )

We are looking for a passionate AI Engineer specialising in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine learning solutions.

Through Meltwater's innovative social listening platform, we ensure our clients never miss any mention of their brand or essential topics across various platforms, automating the entire social listening process.

Partner with us and be part of a diverse community that values your unique contributions, empowering you to reach new heights. Join us in crafting something extraordinary.

What You’ll Do:
  • Contribute to the development of scalable algorithms for processing large datasets, implement and evaluate machine learning and deep learning algorithms for Natural Language Processing/Understanding .
  • Assist in the design, development, and testing of ML models and pipelines for real-time processing of unstructured data.
  • Collaborate with senior team members to analyze the impact of algorithm changes.
  • Learn and grow under mentorship, gaining exposure to industry-standard NLP tools and techniques.
What You’ll Bring :
  • Bachelor’s Degree in Computer Science or a related field, with 3 years working experience OR a Master’s Degree in Computer Science or a related field, with 1 years working experience.
  • Programming Language:
    Proficiency in Python.
  • Solid understanding of data structures and algorithms.
  • Proficient in Machine Learning, with a solid understanding of neural networks and the Transformer architecture.
  • Familiar with foundational NLP tasks such as tokenization, Named Entity Recognition, and sentiment analysis.
  • Experience with modern approaches built on pretrained language models - fine-tuning and transfer learning, text and token classification.
  • Working knowledge of large language models, including prompting and retrieval-augmented generation (RAG).
  • Experience or coursework in Deep Learning frameworks like PyTorch or Tensor Flow.
  • Strong problem-solving skills and a curiosity for learning new technologies.
  • Good verbal and written communication skills.
  • Familiarity with cloud platforms (e.g., Azure (preferable), AWS, or Google Cloud).
  • Basic knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
  • Interest in infrastructure-as-code tools like Terraform.
  • Passion for exploring the intersection of NLP and emerging fields such as generative AI or multimodal systems.
What We Offer:
  • Enjoy 26 days of annual paid time off plus an additional day off on your birthday!
  • Enjoy national and global health coverage through our statutory health insurance, ensuring your well-being wherever you are
  • Benefit from a 30% employer contribution to our Company Pension scheme (BAV)
  • Complimentary Calm App subscription for you and your loved ones because mental wellness matters.
  • Benefit from our family leave program, which grows with your tenure at Meltwater.
  • Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Our Story

At Meltwater , we believe that when you have the right people in the right environment, great things happen.

Our best‑in‑class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem‑solvers, and high‑performers who embrace challenges and find new solutions for our customers.

Our award‑winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the…

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