AI Developer

3 days ago


Copenhagen, Copenhagen, Denmark Heimdal Security Full time
Job Description

We are seeking a highly skilled AI Engineer to join our dynamic team at Heimdal Security, an internationally expanding business leading the fight against cybercrime. Our company is recognized by the FBI and has won multiple awards, including the "Cloud Based Solution of the Year" at the 2023 Network Computing Awards and the "Risk Management Award" at the Security Excellence Awards.

In this role, you will be responsible for designing and implementing robust backend services using Python and popular frameworks such as FastAPI, Django, or Flask. You will also develop and maintain scalable data pipelines and ensure the integrity and availability of data.

The ideal candidate will have extensive experience in data engineering, natural language processing (NLP), and deployment of AI models. You will lead efforts in text normalization, sentiment analysis, named entity recognition, and machine translation to enhance our product offerings.

Responsibilities:
  • Backend Development: Design and implement robust backend services using Python and frameworks such as FastAPI, Django, or Flask.
  • Data Engineering: Develop and maintain scalable data pipelines and ensure the integrity and availability of data.
  • NLP Development: Lead efforts in text normalization, sentiment analysis, named entity recognition, and machine translation to enhance our product offerings.
  • AI System Optimization: Optimize AI systems for performance and scalability, using techniques such as parallel processing and GPU acceleration.
  • CI/CD Practices: Implement continuous integration and deployment (CI/CD) practices for AI applications.
  • Code Quality: Write clean, maintainable, and efficient code.
Requirements:
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Programming Skills: Proven experience with Python and at least one of the following frameworks: FastAPI, Django, Flask.
  • Data Engineering Experience: Solid understanding of data engineering principles and experience in managing large-scale data.
  • NLP Tools: Experience with NLP development using Hugging Face, PyTorch, and LangChain.
  • Cloud Platforms: Familiarity with deploying applications using Docker, Kubernetes, or similar technologies.
  • Additional Libraries: Knowledge of additional libraries such as NumPy, Pandas, SciPy, and Scikit-Learn.
What We Offer:
  • Salary: €60,000 - €80,000 per year, depending on experience.
  • Benefits: Private medical insurance, extra salary benefits, and a unique opportunity to pivot in the organization according to your development and skills.


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