MUMBAI · FULLTIME
Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M
webjobs-edu070120161510@naukri.com
Mumbai · onsite · Posted 3d ago
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Undisclosed4–9 yrsfulltimeMumbai
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Section · 01
About this role
Job Description - 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.
- Strong 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
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationDevopsDockerAIOpsCI/CD Pipelinesamazon web servicesDynatraceapache airflowdevops engineerdata scientistdata preprocessingcorrelationAnomaly DetectiondebuggingdeploymentcloudDeep LearningMicrosoft AzureArtificial Intelligence