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EduBridge Learning
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Bengaluru · On-site · Oct 6
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
Position :- Freelance AI/ML, AIOps & MLOps Trainer
Responsibilities
- 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
- experience in developing, deploying, monitoring, and managing AI/ML solutions in real-world environments.
- 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.
Qualifications
- Engagement Type :- Freelancer
- Per Hour - 900 to 1300
- 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
Nice to have
- 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.
- Strong communication, presentation, and mentoring skills.
- Ability to explain complex technical concepts in a simple and practical manner.
- 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.
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M (Part time / Training Partner) at EduBridge Learning?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. EduBridge Learning may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M (Part time / Training Partner) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M (Part time / Training Partner) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M (Part time / Training Partner) role at EduBridge Learning?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.