Data and Machine Learning Intern

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Requirements:

• Last year of a bachelor’s degree in Computer Science or related
• Proficient in English
• Basic knowledge of Python, ML, and Data libraries
• Basic knowledge of Databases
• Understanding of statistical, ML ,and deep learning algorithms
• Experience visualizing and manipulating big datasets
• Problem solving
• Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses

Responsibilities:

• Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.
• Collaborate with the team to implement and optimize ETL processes.
• Integrate data from various sources into warehouses, data lakes and lakehouses.
• Support data management tasks, including data cleaning, validation and transformation.
• Understand business objectives and develop models that help achieve them, plus metrics to track their progress.
• Implement ML systems using classical ML, DL and Foundation Models following best practices.
• Participate in client communications by helping gather requirements and communicate deliverables.
• Explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment.
• Identify and analyze model errors.