ML Intern

OChK is a leading cloud services provider in Poland with extensive experience in advanced data analytics, artificial intelligence, and cybersecurity. They develop scalable and secure environments on their proprietary OChK Platform and cloud platforms of strategic partners Google and Microsoft. Their services cover strategy, migration, IT environment management, application and data/AI solution development, optimization, automation, security, and compliance support. Nearly 400 organizations from various sectors, including public institutions, private companies, corporations, supervised entities, and startups, use OChK's services.

• Student after the 2nd year of studies in Data Science/ML or related fields.
• Basic knowledge of artificial intelligence.
• Knowledge of basic programming (SQL/Python).
• Interest in cloud technologies.
• Analytical thinking and project work skills.
• Willingness for continuous learning, openness to feedback, and proactive problem-solving approach.
• Knowledge of analytical model lifecycle concepts (MLOps) is a plus.

• Participate in building and deploying scalable machine learning systems in a cloud environment.
• Engage in the full lifecycle of analytical models: data discovery and preparation (Feature Engineering), training and rigorous testing of experiments, deployment, and monitoring of final production solutions (MLOps).
• Apply best market practices in creating modern AI solutions.
• Work on real business projects as part of an active team.
• Develop an individual project throughout the internship under the guidance of an experienced mentor.
• Familiarize with mature analytical environment approaches including Feature Engineering and MLOps.
• Train in data analysis, exploration, and transformation techniques using cloud tools (BigQuery/Conversational BI).
• Create data flows for aggregated data layers (Dataform).
• Prepare data for modeling.
• Build predictive models in the GCP environment (NoCode, LowCode, FullCode).
• Conduct tests and select champion models.
• Deploy and monitor models in production.