We are growing fast - and we invite you to grow with us. In Innowise, you can not only develop as an expert in your field, solve complex problems and influence the result, but also see how the finished project affects the world around. We are a close-knit team of professionals who have already implemented 1300+ cases for clients from the USA, Denmark, Germany, etc. We need someone, who will strengthen our team and become part of the community!

To be successful with projects you need to have:

• Strong proficiency in Python
• 2+ years of professional and commercial experience in Data Science, NLP, and Computer Vision (all or some) applied to solving business problems; familiarity with modern (SOTA) models and advanced approaches in the field
• Deep knowledge of ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn), algorithms (supervised, unsupervised, reinforcement learning), and techniques (feature engineering, model optimization, hyperparameter tuning)
• Experience developing solutions based on large language models (LLM), Retrieval-Augmented Generation (RAG), building intelligent agents, applying MCP methodologies, and other modern AI approaches
• Understanding of big data platforms (Spark, Hadoop) and cloud services (AWS, Azure, Google Cloud) for scalable deployment
• Basic DevOps skills, including CI/CD, Linux fundamentals, and Docker
• Experience building MLOps processes: automating ML model lifecycle (training, deployment, monitoring), managing data and model versions (MLflow, DVC), pipeline orchestration (Kubeflow, Airflow), and A/B testing
• Experience using Git for version control and collaboration
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or related fields
• Strong skills in collaboration with product managers, data analysts, and business leaders
• English and/or German (or other languages) proficiency at B2 level or higher

Will be a plus:

• Certifications in ML, Data Science, or cloud platforms (e.g., AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, Microsoft Certified: Azure Data Scientist Associate)
• Knowledge of modern AI tools and hands-on experience applying them

We offer

Flexible work schedule

Financial assistance

Medical insurance

Experience of working with clients all over the world

Want to join the team?

Email us

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Any questions about the job?