Job Description

Job Title:

MLOps Trainer (Freelance, Part-Time)

:

We are seeking a skilled and experienced MLOps Trainer to help guide learners through our MLOps syllabus. This is a part-time freelance role with flexible hours. The ideal candidate should have deep knowledge of MLOps concepts, tools, and best practices, and be able to effectively communicate this to learners.

Responsibilities:

Deliver engaging and informative training sessions on MLOps concepts, tools, and techniques. Follow our established syllabus, which typically spans 30 to 40 hours. Conduct 1-hour sessions on weekdays and 2-hour sessions on weekends. Provide additional support as needed, such as answering questions or reviewing learner progress. Ensure learners have a solid understanding of the principles of MLOps, including deployment, monitoring, version control, automation, and CI/CD pipelines. Stay updated on current MLOps trends and tools to keep the training materials current.

Requirements:

Proven experience working in MLOps or related fields, with practical knowledge of machine learning models, deployment pipelines, and system monitoring. Experience in teaching or mentoring others, with the ability to explain complex topics clearly. Strong communication skills. Availability to commit to 1-hour sessions on weekdays and 2-hour sessions on weekends. Self-motivated and able to work independently as a freelancer.

Preferred:

Familiarity with tools like Kubernetes, Docker, Jenkins, TensorFlow, MLflow, and cloud platforms (AWS, Azure, GCP). Previous experience as an MLOps instructor or trainer.
Job Type: Part-time

Pay: ₹10,000.00 - ₹15,000.00 per month

Education:

Bachelor's (Preferred)
Experience:

MLOPS: 5 years (Required) total work: 5 years (Preferred)
Language:

English (Preferred)
Work Location: Remote