AI & ML Engineering Coach
J
JobgetherAI & Machine Learning
Based in United StatesContract
Salary not disclosed
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Job Details
- Required Skills
- Artificial IntelligenceMachine Learning
Requirements
- Professional experience as an AI/ML Engineer or in a closely related artificial intelligence or machine learning engineering role.
- Experience working with production-level machine learning systems, models, infrastructure, or related AI technologies.
- Strong understanding of AI/ML fundamentals combined with practical knowledge of how these technologies are applied in real-world environments.
- Ability to explain complex technical concepts clearly to students, early-career professionals, and candidates with different levels of technical expertise.
- Experience with technical interviewing, engineering projects, ML portfolios, or career development is valuable.
- Strong communication and interpersonal skills, with an ability to provide constructive, actionable feedback.
- Demonstrated interest in mentoring, coaching, teaching, or helping others develop technical and professional skills.
- Ability to work independently in a fully remote environment and manage a flexible coaching schedule.
- Strong judgment, empathy, and adaptability when tailoring guidance to individual mentee needs.
- Comfort operating in a fast-paced, AI-focused environment and staying current with developments across the AI/ML ecosystem.
Responsibilities
- Coach students and early-career candidates pursuing roles in artificial intelligence and machine learning.
- Provide personalized guidance based on each mentee’s career goals, technical background, and target roles.
- Review and strengthen resumes, helping candidates communicate their AI/ML experience and technical achievements effectively.
- Prepare mentees for technical interviews through mock interviews, technical discussions, and targeted feedback.
- Advise candidates on building relevant AI/ML projects and portfolios that demonstrate practical engineering capabilities.
- Explain AI/ML concepts, engineering practices, and production applications clearly to learners with varying levels of experience.
- Draw on hands-on experience with production ML systems, models, infrastructure, and real-world AI applications to provide practical mentorship.
- Conduct coaching sessions virtually while maintaining a professional, engaging, and supportive experience.
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