Junior Machine Learning Engineer – Calliere Group

[Machine Learning]
August 9, 2025
Full Time
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Job Description

This is a remote position.

My client is seeking a Junior Machine Learning Engineer to help build their ML infrastructure from the ground up. This is an excellent opportunity for a recent graduate or final-year student to gain hands-on experience with production machine learning workflows on Google Cloud Platform.

Key Responsibilities

  • 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



Requirements


  • 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)

Preferred Qualifications

  • 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

What They Offer

  • 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

Ideal Candidate

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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