We are looking for an experienced MLOps Trainer to join our team on a freelance, part-time, and remote basis. The trainer will be responsible for delivering practical, industry-focused training sessions and guiding learners through MLOps concepts and tools.
Job Type: Freelance / Part-Time
Mode: Remote
Working Hours:
- Weekdays: 1 hour per day
- Weekends: 2 hours per day
- The complete training program typically requires 30–40 hours to finish.
Responsibilities:
- Deliver engaging and interactive MLOps training sessions.
- Explain concepts with real-world examples and hands-on exercises.
- Assist learners with assignments, projects, and doubt clarification.
- Ensure the syllabus is completed within the planned duration.
Requirements:
- Strong knowledge of MLOps tools and practices.
- Experience with CI/CD pipelines, Docker, Kubernetes, ML model deployment, and cloud platforms is preferred.
- Prior training or mentoring experience is an advantage.
- Positive communication and presentation skills.
- Ability to conduct sessions remotely and adhere to the scheduled timings.
Compensation:
- Payment will be discussed based on experience and expertise.
If you're passionate about teaching and have hands-on experience in MLOps, we'd love to hear from you! Apply now and become part of our training team.