Internship - ML/Data Science Intern

About our Team

Join the hub of possibilitech.

●      Gain in-depth knowledge about using ML methods in AdTech industry needed to perform given tasks.

●      Assist in developing, testing, deploying, and maintaining machine learning products and pipelines.

●      Work together with Data Scientists, ML and MLOps Engineers. You will take active part in meetings, report your findings and discuss them.

●      Make in-depth and in-broad analysis based on the results obtained by other team members

●      Monitor and analyze system logs to evaluate model performance, document insights and report problems.

●      Assist in the maintenance of code quality by adding unit tests and ensuring overall system reliability.

●      Create queries to analyze data stored in the database and prepare comprehensive reports.

●      Utilize project management tools, such as Jira, to monitor progress and document findings effectively.

●       Python (pandas, scikit-learn, matplotlib, etc.)

●       SQL (Snowflake)

●       Github

●       TensorFlow/PyTorch

●       AWS (SageMaker)

●       PySpark / Snowpark

●       Airflow

●       GitHub Actions

●       Pytest / unittest

●       Student of Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.).

●       Programming skills in Python and data-science libraries (pandas, scikit-learn).

●       Knowledge of SQL and relational databases, ideally Snowflake.

●       Knowledge of data analysis, statistics, data mining, machine learning or Big Data processing area.

●       Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit-Learn, PySpark etc.).

●       Familiarity with data structures, CI/CD pipelines, software engineering principles and robust code testing.

●       Collaborating in a team using code versioning tools like Git.

●       Ability to summarize and present the finding results to business/product stakeholders.

●       Openness to learn new technologies and adapt to technological stack.

●       Industry experience in machine learning projects.

●       Familiarity with AWS tools (e.g. Airflow, SageMaker), Snowflake, Redis, Aerospike, ETL or big data tools (PySpark/Snowpark, Docker, Kubernetes, etc.)

●       Experience with deploying ML models in production.

●       Experience with Infrastructure as Code (Terraform), orchestration tools (Airflow), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana.

·       Internship conditions:

o   Competitive salary

o   Flexible working hours

o   Possibility of long lasting cooperation

·       Team:

o   Possibility to learn from world-class experts in a friendly atmosphere

o   Opportunity to work on multiple projects

o   Group Integration budget

·       Equipment:

o   PC workstation/Laptop + 2 external monitors

o   OS: Windows

·       Benefits:

o   Variety of discounts (Samsung products, theaters, restaurants)

o   Free access to Copernicus Science Center for you and your friends

o   Chillout rooms

o   Variety of tea, coffee and fresh fruits/vegetables

·       Location:

o   Office in Warsaw Spire near metro station