ML Engineer (with German language)

Location: Remote, hybrid, or office-based work in Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Latvia, Lithuania, Luxembourg, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, or the Netherlands.

Salary: EUR 3,045–5,145 gross per month. Final compensation depends on experience, location, and professional growth.

Company

hirify.global is a pre-IPO software development company delivering full-cycle digital solutions for enterprises and mid-sized businesses through a global network of development centers.

What you will do

• Design, train, evaluate, and optimize supervised, unsupervised, NLP, and deep learning models.
• Build scalable data and machine learning pipelines and prepare training datasets with subject matter experts and analysts.
• Deploy models for batch and real-time inference using production-ready APIs and containerized services.
• Monitor model performance and data quality while maintaining reproducible ML workflows.
• Optimize models for performance, interpretability, and cost, and document the implemented solutions.

Requirements

• At least 2 years of experience as a Machine Learning Engineer or in a similar role.
• Strong Python skills with scikit-learn, pandas, NumPy, and matplotlib.
• Knowledge of core machine learning concepts, data preprocessing, feature engineering, model evaluation, SQL, and structured or semi-structured data.
• Practical experience with TensorFlow, PyTorch, or Keras, plus deployment through REST APIs, Docker, and model packaging.
• Proven experience building, training, and deploying models with AWS SageMaker; familiarity with AWS Bedrock and foundation or generative models.
• Exposure to MLOps, Git, pipeline automation, model versioning, monitoring, and reproducibility. English: Upper-Intermediate or higher. German: Intermediate+ or higher.

Nice to have

• Experience with emerging machine learning techniques, frameworks, and cloud AI tools.
• Strong analytical thinking, communication, and problem-solving skills.

Culture & Benefits

• Opportunities to work on projects in FinTech, Healthcare, Retail, Telecom, and other business domains.
• Possibility to change projects and develop expertise in different industries.
• Mentoring, onboarding support, professional development, and career growth programs.
• Corporate training portal, English courses, certification compensation, and referral program.
• Private health insurance and compensation for sports activities.
• Additional annual bonus of up to USD 1,000 per month depending on expertise and participation in company activities.