Senior Technical Trainer – Machine Learning
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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong machine learning foundations and the ability to effectively teach complex concepts to engineers. Proficient in creating engaging educational content, including video lessons and lab specifications, while collaborating with diverse teams.
Highest-signal resume keywords
Machine Learning FoundationsModel Training And EvaluationScikit-LearnPyTorchTensorFlow
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Create and present machine learning courses for engineers, from foundations through training their own models
- Shape courses with the curriculum team, including sections, lessons, labs, and notebooks
- Write lab specifications for the dedicated labs team and test the completed labs
- Write and narrate short, story-driven video lessons of approximately six minutes each
- Record demo and lab-solution walkthroughs
- Incorporate structured editorial feedback, particularly on the first section
- Collaborate through weekly syncs, Slack communication, and time-zone overlap with a Europe/Asia-based team
- Focus on teaching while the production team handles video editing, animation, lab infrastructure, and publishing
Requirements
What you’ll need- Strong, hands-on machine learning foundations
- Experience training, evaluating, and shipping models using scikit-learn, PyTorch, or TensorFlow
- Ability to clearly explain the reasoning behind machine learning to engineers new to it
- Excellent spoken and written English
- Clear, natural, easily understood English and confidence on camera
- Genuine passion for teaching demonstrated through courses, tutorials, talks, workshops, or mentoring
- Current knowledge of the machine learning field and willingness to keep learning
- Openness to an established teaching methodology and editorial feedback
- Nice to have: published online courses, a book, or university/bootcamp teaching experience
- Nice to have: experience with fine-tuning, MLOps, or deploying models in production
- Nice to have: cloud ML certifications such as AWS, Azure, GCP, or Databricks
- Must provide a CV or LinkedIn profile and a link demonstrating teaching or presentation ability
Benefits
Comp & perks- Paid freelance course project
- Fixed fee per course agreed upfront
- Competitive fees, with higher compensation for advanced topics and exceptional instructors
- Flexible hours
- Fully remote work
- Potential path to a full-time role or additional course projects
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModel DeploymentFine-TuningMLOpsCurriculum DevelopmentLab Specification WritingVideo Lesson CreationTeaching MethodologyEducational Content CreationTechnical Communication
Soft Skills
Passion For TeachingClear CommunicationConfidence On CameraOpenness To FeedbackCollaboration
Tools & Technologies
AWSAzureGCPDatabricksSlack
Industry Keywords
Online CoursesEducational WorkshopsTutorialsEngineering EducationMachine Learning Field