– Freelance AI/ML, AIOps & MLOps Trainer

Position :- Freelance AI/ML, AIOps & MLOps Trainer

Experience :- Minimum 4+ years of relevant industry/training experience

Engagement Type :- Freelancer

Per Hour - 900 to 1300

Role Overview

We are looking for an experienced AI/ML, AIOps & MLOps Trainer to deliver practical, industry-oriented training covering Artificial Intelligence, Machine Learning, AI-driven IT Operations, and Machine Learning Operations. The trainer should have strong hands-on experience in developing, deploying, monitoring, and managing AI/ML solutions in real-world environments.

Key Responsibilities

- Deliver instructor-led training on AI/ML, AIOps, and MLOps.
- Explain concepts from foundation to advanced level using practical examples.
- Conduct hands-on coding, model development, deployment, and monitoring activities.
- Guide learners through real-world AI/ML and MLOps projects.
- Demonstrate AI-driven IT operations, monitoring, automation, and incident management.
- Teach ML model deployment, versioning, CI/CD, monitoring, and lifecycle management.
- Conduct assessments, coding exercises, and practical technical activities.
- Support learners with debugging, troubleshooting, and problem-solving.
- Follow the provided course structure, session plan, and learning outcomes.
- Provide learner feedback and coordinate with the training team.

Required Technical Skills

- Python & Machine Learning
- Data Preprocessing & Feature Engineering




- Supervised & Unsupervised Learning
- Deep Learning fundamentals
- TensorFlow / PyTorch / Scikit-learn
- AIOps & IT Operations
- Monitoring & Observability
- Anomaly Detection & Event Correlation
- Root Cause Analysis & Automation
- Git & GitHub
- Docker & Kubernetes
- CI/CD Pipelines
- MLflow / Experiment Tracking
- Model Deployment & Monitoring
- Cloud – AWS / Azure / GCP
- Basic knowledge of Generative AI & LLMs

Preferred Skills

- Experience with real-world AI/ML, AIOps, or MLOps implementations.
- Strong knowledge of DevOps, Cloud, Kubernetes, and CI/CD.
- Experience with tools such as MLflow, Kubeflow, Airflow, Grafana, Prometheus, Splunk, Dynatrace, or similar platforms.
- Experience training college students or working professionals.
- Robust communication, presentation, and mentoring skills.
- Ability to explain complex technical concepts in a simple and practical manner.

Eligibility

- Minimum 4+ years of relevant AI/ML, AIOps, MLOps, ML Engineering, DevOps, or Cloud experience.
- Strong hands-on knowledge of AI/ML and production deployment practices.
- Prior experience as an AI/ML Engineer, MLOps Engineer, AIOps Engineer, DevOps Engineer, Data Scientist, or Technical Trainer is preferred.

Key Competencies AI/ML | AIOps | MLOps | Python | Machine Learning | Deep Learning | Generative AI | Docker | Kubernetes | CI/CD | Cloud | Model Deployment | Monitoring & Observability | Automation | Training & Mentoring

📌 Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M (Part time / Training Partner) (Bengaluru)
🏢 EDUBRIDGE LEARNING
📍 Bengaluru