Mentor - Machine Learning Engineering Career Track (Part-time/Remote) [Referrals]

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Requirements:

• 3+ years of industry experience in machine learning engineering or data science
• Experience in Python Data Science Stack; using python and its standard libraries; building visualizations with Matplotlib and Seaborn;Writing code in Python using PEP 8 Standard
• Data Wrangling: Use Pandas to wrangle and clean data; working with different file formats, from plain text, to CSV, to JSON; relational and non-relational databases; SQL
• Machine Learning: Scikit-learn; ML techniques: linear and logistic regression, trees, and clustering
• Deploying ML: Experience deploying ML solutions with a cloud service provider (at least one of AWS, GCP or Azure).
• Deep Learning Fundamentals: Familiarity with deep learning, computer vision, natural language processing
• Expertise in Python, libraries like TensorFlow and PyTorch, SQL, cloud ML, etc.
• Experience working with large language models and generative AI, such as training and fine-tuning language models for specific tasks.
• Knowledge of cloud-based deployment strategies for large AI models and practical experience with model versioning and reproducibility.
• Degree/Certifications in machine learning/AI/data science preferred

Responsibilities:

• Provide 1-1 guidance to students
• Discuss questions, projects, and career advice with students
• Communicate with students outside of calls to support learning and career objectives