Machine Learning Engineer

• **This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Austria.**
• This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.
• As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.
• You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.
• The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.
• You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.
• This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.

### Accountabilities

The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:

• Develop, train, test, and evaluate machine learning models to support product objectives.
• Prepare, clean, analyze, and manage datasets used for model training and validation.
• Improve model performance through experimentation, optimization, and continuous testing.
• Deploy, maintain, and monitor machine learning models in production environments.
• Collaborate with software engineers to integrate machine learning capabilities into products and applications.
• Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.
• Apply modern machine learning techniques and stay informed about emerging technologies and best practices.
• Write clean, maintainable, and efficient code to support scalable AI solutions.
• Contribute to technical discussions and help solve complex engineering challenges.
• Participate in the continuous improvement of machine learning workflows and development processes.

## Requirements

The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:

• 1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities.
• Basic understanding of machine learning concepts, algorithms, and model development processes.
• Strong programming skills in Python.
• Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn.
• Comfortable working with data and writing clean, maintainable code.
• Experience using Git and version control practices.
• Strong problem-solving skills with the ability to analyze technical challenges.
• Good written and verbal English communication skills.
• Passion for learning, experimenting, and building AI-powered solutions.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory.
• Experience with large language models (LLMs) is an advantage.
• Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial.
• Knowledge of SQL and experience deploying machine learning models are considered advantages.
• Personal AI, machine learning projects, or open-source contributions are highly valued.

## Benefits

The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:

• Fully remote work opportunity.
• Flexible working environment with autonomy and work-life balance.
• Opportunity to build and improve real-world AI products.
• Exposure to challenging technical problems and modern machine learning technologies.
• Collaborative and fast-moving team environment.
• Opportunities for professional growth and continuous learning.
• Competitive compensation based on experience.
• Opportunity to contribute to impactful machine learning projects from anywhere.