This is a remote position.
Develop simple predictive models and machine learning algorithms under guidance
Build basic data pipelines using Apache Airflow or Cloud Composer
Work with Vertex AI and BigQuery ML for model deployment and monitoring
Perform data cleaning, preprocessing, and exploratory analysis
Create data visualizations and document findings
Assist in feature engineering and model validation processes
Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related field (recent graduate or final year)
Python programming with pandas, scikit-learn, and basic TensorFlow/PyTorch experience
Hands-on GCP experience with Vertex AI and BigQuery ML (non-negotiable)
Basic SQL knowledge and understanding of machine learning fundamentals
Portfolio demonstrating predictive modeling projects (academic, personal, or internship)
Experience with data visualization tools (Tableau, Looker, matplotlib)
Basic knowledge of Docker and version control (Git)
Internship or co-op experience in machine learning or data analysis
Kaggle competitions or similar data science challenges
Mentorship program with experienced ML engineers and data scientists
Learning budget for courses and certifications
Real-world experience contributing to business-impacting models
Modern tech stack with industry-standard GCP ML tools
Clear career development path from junior to mid-level ML engineer
Recent graduate (0-2 years experience) with strong academic performance and practical ML experience through projects or internships. You're curious, motivated, and ready to translate theoretical knowledge into practical skills while working collaboratively in a learning-focused environment
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