AI Application Engineer HU
The ideal candidate will be responsible for designing, developing, and deploying AI-powered applications and solutions that address real-world problems. This role combines expertise in software engineering, machine learning, and data analysis to create impactful and scalable AI-driven technologies.
Job description
- AI Application Development:
- Design and implement AI models and algorithms tailored to specific business requirements.
- Develop and integrate AI components into applications using frameworks such as TensorFlow, PyTorch, or similar.
- Data Processing and Analysis:
- Gather, clean, and preprocess data for training AI models.
- Perform exploratory data analysis (EDA) to identify patterns and insights.
- System Integration:
- Collaborate with cross-functional teams to integrate AI solutions into existing software and systems.
- Optimize AI solutions for performance, scalability, and reliability.
- Prototyping and Deployment:
- Build prototypes to demonstrate AI capabilities and potential applications.
- Deploy AI solutions in cloud environments or on-premises systems.
- Collaboration and Communication:
- Work closely with product managers, data scientists, and software engineers to align AI projects with organizational goals.
- Present technical findings and project progress to stakeholders.
- Research and Development:
- Stay up to date with advancements in AI and machine learning.
- Experiment with cutting-edge AI techniques and tools to improve existing systems.
- Testing and Maintenance:
- Develop robust testing protocols to ensure AI models perform as expected.
- Monitor deployed AI applications, address bugs, and improve functionality over time.
Prerequisites and skills
- 5+ years as a software developer, with at least 1.5-2 years in AI/ML
- Strong Python skills and related data science libraries (NumPy, Pandas, Scikit-learn)
- Hands-on experience with machine learning, deep learning frameworks (TensorFlow, PyTorch)
- A well-rounded developer with strong technical skills - good understanding of software development practices, debugging, unit/integration testing, behavioural testing, version control (GIT), and ALM tools (JIRA)
- Knowledge of cloud computing platforms (Azure, GCP) for model training and deployment
- Understanding of CI/CD and optimization practices
- Experience working in enterprise environments with structured teams
Advantages and benefits
- Work in a fast-growing international business and industry.
- International environment and inspiring colleagues from many different countries (35 nationalities).
- Flexible working hours, agile working model with potential to work from home.
- Varied, interesting and challenging work.
- Lunch vouchers.
- Referral programme.
Further information
Location: hybrid - 2 days per month in the Vienna office
Type of contract: Permanent employment
Start date: By agreement
Salary: up to 22 mil. HUF per year + 10% annual bonus
About the company
Our client is a Tax-Free shoping solutions copmany with more than 40 years on the market.
Apply for the position
You will be guided through the selection process by Dominika. If you have any questions? Call +421 948 432 411.
Personal data
I hereby give my consent to the processing of my personal data contained in the job application, professional CV, personal questionnaire, personal data obtained from the contact form on the company’s website and personal data obtained during the interview at Grain s. r. o. in accordance with Act No. 18/2018 Coll. on the Protection of Personal Data (hereinafter referred to as “Act No. 18/2018 Coll.”) by Grain Slovakia s. r. o. for the purpose of employment mediation. Consent may be revoked in writing at any time, otherwise the consent expires 3 years from the date of its granting and the data will be anonymised and further used exclusively for statistical purposes. I also acknowledge that the rights of the data subject are regulated in Section 59 et seq. of Act No. 18/2018 Coll. I declare that I fully understand the conditions of processing my personal data and I give my consent knowingly, voluntarily and without reservation.