MLOps & Agentic AI Instructor - Skillfyme

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

About The Opportunity

A leading player in the EdTech and AI education sector, we specialize in shaping the future of machine learning professionals by delivering state-of-the-art curriculum focused on MLOps and Agentic AI. We empower learners with the skills required to deploy, monitor, and optimize ML models in real-world scenarios. This is a remote opportunity based in India, offering flexibility and the chance to impact the next generation of tech innovators.Role & Responsibilities
  • Develop and deliver expert-level instruction on MLOps, focusing on automated machine learning pipelines and the essentials of agentic AI.
  • Design, update, and enhance comprehensive course content including practical labs, case studies, and real-world applications.
  • Mentor and support participants through interactive sessions, ensuring clarity on complex ML operations concepts.
  • Evaluate learner progress via assessments, hands-on projects, and feedback sessions to ensure effective knowledge transfer.
  • Collaborate with industry experts to integrate emerging trends and best practices into the curriculum.
  • Continuously refine teaching methodologies to enhance course quality and learner engagement.

Skills & Qualifications

  • Must-Have:
    • Deep expertise in Machine Learning Operations (MLOps), including CI/CD pipelines, model deployment, and monitoring.
    • Proven experience with agentic AI concepts and developing self-improving machine learning systems.
    • Strong communication and presentation skills tailored for remote instruction.
    • Hands-on experience with tools and platforms such as Kubernetes, Docker, and cloud-based ML environments.
    • Demonstrated capability in designing engaging and effective course content.
  • Preferred:
    • Prior teaching or training experience in an academic or professional setting.
    • Experience with AI research or innovative curriculum design aimed at continuous learning improvement.
Benefits & Culture Highlights
  • Enjoy the flexibility of a remote work environment from anywhere within India, promoting a healthy work-life balance.
  • Be part of an innovative and collaborative team passionate about advancing AI education and industry standards.
  • Gain the opportunity to shape the future of AI by mentoring and inspiring the next generation of machine learning professionals.
Skills: machine learning operations (mlops),machine learning,model deployment,ci/cd pipelines,kubernetes,presentation,agentic ai,monitoring,ml,python,cloud-based ml environments,communication,self-improving machine learning systems,mlflow,curriculum design,docker

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