Machine learning engineer

A Company you will be happy to grow with! At InnoTech, it´s all about connecting people with business through technology. We truly care about you, your happiness, and your well-being. We look for passionate people who are eager to learn, evolve, and grow with us - because growth is in our DNA.

• Bring Machine Learning models into production, ensuring reliable deployments and scalable, production-ready solutions;
• Build and maintain ML deployment workflows and CI/CD pipelines, contributing to the development of MLOps practices from the ground up;
• Monitor models in production, implementing metrics and alerting while troubleshooting failures and optimizing model performance;
• Develop clean, structured, reusable, and testable Python code while contributing to model retraining and deployment automation initiatives;
• Collaborate closely with Data Scientists and Data Engineers on model deployment, data transformation, and continuous improvement of ML solutions.

• More than 3 years of professional experience in Machine Learning, with strong Python and SQL skills and hands-on experience with TensorFlow, PyTorch, and Scikit-learn;
• Experience deploying ML solutions using Docker and/or Kubernetes and developing model-serving APIs with FastAPI or Flask;
• Knowledge of cloud environments such as AWS, GCP, or Azure, combined with experience building and maintaining CI/CD pipelines using tools such as GitHub Actions or Jenkins;
• Good understanding of MLOps practices, software versioning, testing, code reviews, model lifecycle management, and at least B2-level English proficiency;
• CPLP nationality or an EU work permit is required to facilitate employment.
• Будет плюсом: Experience optimizing production ML models, including response times, operational efficiency, model optimization, and compression techniques; Knowledge of automated model retraining processes, production monitoring, alerting, and ML-specific versioning practices; Familiarity with Java or Scala for integration with existing systems; A proactive and ownership-driven mindset, with strong communication, collaboration, and problem-solving skills; BSc or MSc in Computer Science/Engineering, Information Technology, or related fields

• Health-focused partnerships, including free mental health support;
• 25 days of vacation, including your birthday, Carnival, and a bridging day between Christmas and New Year;
• Half a vacation day on your children's birthday and a school supplies voucher;
• Petsitting partnerships and a pet bereavement day;
• Regular team buildings, four annual company parties, game nights, and social events;
• InnoSports initiatives (football, marathons, and more);
• Events focused on sustainability and social responsibility actions.