drjobs AI Engineer (Part-Time job for students)

AI Engineer (Part-Time job for students)

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1 Vacancy
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Job Location drjobs

Košice - Slovakia

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Join our innovative AI team at Deutsche Telekom where youll help transform cutting-edge artificial intelligence from research concepts into real-world business solutions. As an AI Engineer youll work on exciting projects involving network optimization predictive maintenance and customer analytics while gaining hands-on experience with the latest AI/ML technologies in a telecommunications environment.

WHAT WILL YOU DO

  • Build intelligent systems - Develop and deploy machine learning models that solve real business challenges in network performance and customer experience
  • Create automated pipelines - Design MLOps workflows that automatically build test and deploy AI models to production environments
  • Process big data - Build scalable data pipelines to handle massive telecommunications datasets
  • Integrate AI solutions - Connect AI models to business applications through secure APIs and microservices
  • Optimize performance - Fine-tune AI systems for speed efficiency and reliability in real-time operational environments
  • Monitor and maintain - Implement systems that track model performance and automatically retrain when needed
  • Collaborate across teams - Work with data scientists engineers and business teams to translate requirements into technical solutions
  • Ensure responsible AI - Implement frameworks for fair explainable and compliant AI systems
  • Innovate continuously - Evaluate and adopt new AI technologies including generative AI and large language models
  • Document solutions - Create clear documentation for AI architectures and operational procedures

Qualifications :

YOU WILL SUCCEED IF YOU:

  • are studying Computer Science Engineering Data Science or related quantitative field (Bachelors or Masters level)
  • have coding experience with Python and/or Java from university projects or internships
  • are familiar with cloud platforms (Azure AWS or GCP) and their AI/ML services
  • understand big data technologies and distributed computing concepts
  • know** software engineering basics including Git CI/CD and REST APIs
  • have exposure to containerization tools like Docker and Kubernetes
  • grasp core machine learning concepts and statistical principles
  • speak English at upper intermediate level (B2) or higher
  • are curious about AI/ML technologies and eager to learn

BONUS POINTS IF YOU:

  • have experience with Infrastructure as Code tools like Terraform
  • understand telecommunications or network data analysis
  • worked with Generative AI LLMs or RAG architectures
  • know prompt engineering techniques and frameworks like LangChain
  • are skilled in data preprocessing feature engineering and data quality management
  • used AI development tools like GitHub Copilot or similar coding assistants
  • have cloud certifications (Azure AI Engineer Associate AWS Machine Learning Specialty)


Additional Information :

Benefits

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work career growth private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. Base salary will not be lower than 5 brutto/per hour.

Additional information

* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.


Remote Work :

No


Employment Type :

Part-time

Employment Type

Part-time

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