Machine Learning Engineer
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| Company Name | QUEENSOFT |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Vienna, Austria |
| Qualifications | None / No Formal Education |
| Experience | No Experience / Fresh |
Job Overview
QUEENSOFT is seeking an Entry-level Machine Learning Engineer to join its team in Vienna, Austria. This role involves contributing to innovative projects, particularly in the healthcare sector, focusing on AI-driven applications and connecting patients with healthcare providers.
Company Overview
Founded in 2008 in Austria, Queensoft expanded its presence to Egypt in 2019. Specializing in technological services, Queensoft excels in website and mobile application development for businesses. Currently, Queensoft is innovating in the healthcare sector by introducing cutting-edge applications for mobile phone users, including Electronic Medical Records (EMR) and Electronic Health Records (EHR) systems, as well as AI-driven healthcare projects. Our applications are designed to seamlessly connect patients with their healthcare providers, ensuring efficient and personalized service to meet their needs.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: No Experience / Fresh
Key Responsibilities
- Assist in the design, development, and deployment of machine learning models.
- Contribute to AI-driven healthcare projects, including EMR and EHR systems.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Support the optimization and maintenance of existing ML pipelines.
- Research and experiment with new machine learning techniques and tools.
- Document technical specifications and project progress effectively.
Requirements
- Basic understanding of machine learning concepts and algorithms.
- Familiarity with programming languages like Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Ability to work effectively in a collaborative team environment.
- Excellent communication skills, both written and verbal.
- Proactive attitude and a passion for learning new technologies.
Benefits
- Opportunity to work on cutting-edge AI and healthcare technology.
- Collaborative and innovative work environment.
- Professional growth and learning opportunities.
- Competitive salary and benefits package.
- Be part of a growing international company.
- Contribute to impactful projects improving patient-healthcare provider connections.