Mentor - Machine Learning Engineering

July 25, 2024

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Springboard International Inc.

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Springboard International Inc. is a consultancy firm that acts as a success navigator by helping clients build high-performing organizations. The company focuses on the intersection of people, processes, and strategy to develop sustainable organizations, impactful leaders, and effective learning systems. Springboard International offers services such as educational ecosystems and e-learning, retreat planning and facilitation, organizational strategic planning, and team leadership development. Known for its skilled facilitation and strategic planning, Springboard has earned the trust of its clients by helping them achieve operational improvement and strategic focus. The firm is seen as an extension of their clients' teams, providing additional facets and skillsets needed for success.

Strategic Planning • Sales Effectiveness • Process Improvement • Team and Meeting Facilitation • Employee and Stakeholder Engagement

11 - 50 employees

🤝 B2B

📚 Education

🏢 Enterprise

📋 Description

• We’re looking for mentors for our Machine Learning Engineering Career Track course. • This 6-month course is primarily designed for students who want to become Machine Learning Engineers. • The course goes beyond just the technical aspects of machine learning. • Springboard runs an online Machine Learning Engineering Career Track Bootcamp in which participants learn with the help of a case-study-based curriculum and 1-1 guidance from an expert mentor.

🎯 Requirements

• Are as passionate about teaching coding as about machine learning itself • 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 • Have experience critiquing work, in particular giving meaningful feedback on machine learning engineering and are able to think on your feet quickly • Are empathetic and have excellent communication skills • Bonus points if you know American Sign Language (ASL) or have teaching experience

🏖️ Benefits

• Receive a monthly per-student honorarium between $14.03 - $25.50 USD per 30 minute call per student • Membership in a rich community of expert mentors from great companies like AirBnB, Uber, Google, and Pivotal • Change the lives of students in our program • Help us revolutionize online education and inspire the next generation of software engineers! • Work at your convenience