We’re a forward-thinking team working at the intersection of AI/ML innovation and cloud-scale engineering. As part of our growing Data and AI division, we’re looking for a passionate Machine Learning / AI Developer to help us build intelligent systems using open-source tools and major cloud platforms.
What You'll Do:
Research, adapt, and customize open-source AI/ML algorithms for real-world applications
Build, deploy, and optimize solutions on AWS, Google Cloud (GCP), and Azure using their AI/ML services
Design, develop, and maintain robust and scalable ML codebases in Python
Contribute to proof-of-concept development, experimentation, and model evaluation
Collaborate closely with data engineers and software developers to integrate models into production systems
What We're Looking For:
Proven experience in Machine Learning and AI development (4+ years preferred)
Strong expertise in Python programming, especially for ML workflows (e.g., TensorFlow, PyTorch, Scikit-learn, etc.)
Experience working with cloud ML/AI services: SageMaker (AWS), Vertex AI (GCP), Azure ML Studio, etc.
Familiarity with open-source ML libraries and ability to fine-tune/customize them
Ability to think critically, research independently, and communicate clearly
Nice to Have:
Contributions to open-source projects
Exposure to MLOps practices and tools (e.g., MLFlow, Kubeflow, Airflow)
Background in data engineering or DevOps for ML
Experience deploying models to production or real-time systems
Why Join Us:
Competitive salaries and benefits
Long-term cooperation with insurance
Opportunity to work on cutting-edge AI/ML projects
Work with a supportive and technically strong team
You will be our guest for lunch