Machine Learning Engineer
Job Description
We are seeking a passionate Machine Learning Engineer to join our team. In this role, you will be instrumental in developing and training machine learning models that tackle real-world societal challenges. You will work on innovative projects that create significant impact by building scalable systems that perform efficiently. Your expertise will contribute to various aspects of machine learning, including natural language processing, scoring, and predictive analytics. You will also be involved in establishing and maintaining data and model pipelines, ensuring smooth integration from data collection to deployment. Your analytical skills will be crucial in evaluating and optimizing models using real data, while your input on architectural decisions will help shape technical implementations.
Key Responsibilities
As a Machine Learning Engineer, you will have a variety of responsibilities that contribute to the success of our projects.
- Develop and train machine learning models in natural language processing, scoring, and predictive analytics
- Build and maintain data and model pipelines from data integration to deployment
- Evaluate and optimize models based on real data
- Collaborate on architecture decisions and technical implementation
Required Technical Skills
Soft Skills
Qualifications
- At least 3 years of relevant professional experience in machine learning, data engineering, or software development
- Strong understanding of data, models, and deployment processes
Language Requirements
Programming Languages:
Python, Git, Docker
Spoken Languages:
English, German
Benefits & Perks
- ✓ Projects that create real impact
- ✓ A supportive team environment that encourages growth
- ✓ Opportunities to work with cutting-edge technology
Working Conditions
Full Time
Company Culture
A technology-driven IT boutique that values innovation and teamwork, emphasizing the importance of making a difference through technology.
Salary Range
Project Types: Not Available
Career Growth: Professional development opportunities, Possibility to lead future projects, Growth within the organization