
DevOps Trainer/Technical Trainer
2 hours ago
Job Title: AI DevOps Engineer / IT Trainer
Location: Noida, Sector-58
Experience: 3+ years (Training experience preferred)
Employment Type: Full-time | 6 Days Working
Notice Period: Immediate joiners preferred (Maximum 15 days)
Position Overview
We are looking for an experienced and dynamic AI DevOps Engineer / IT Trainer with strong expertise in AI, DevOps, and cloud technologies. The ideal candidate should possess hands-on experience in machine learning model deployment, DevOps automation, and cloud-native workflows, along with a proven track record of delivering effective training sessions to groups of 30–40 learners.
Key Responsibilities
- Deliver instructor-led training sessions on AI, ML, and DevOps tools & best practices.
- Design and develop structured training content, real-time projects, and hands-on labs.
- Mentor learners by providing technical guidance and resolving queries.
- Conduct workshops and assessments to evaluate learner progress.
- Stay updated with emerging trends in AI and DevOps to enhance training material.
Technical Skills Required
AI & Machine Learning
- Building & managing ML pipelines
- Model deployment, serving & monitoring
- Lifecycle management of ML models
DevOps Tools
- Version Control: Git, GitHub/GitLab
- CI/CD: Jenkins (Pipeline design & integration)
- Containerization: Docker (Image management & deployment)
- Orchestration: Kubernetes (Cluster management, Helm, deployments)
- End-to-end automation of CI/CD pipelines
Cloud Platforms (Deployment & Automation)
- AWS: EC2, S3, EKS, CodePipeline
- Azure: Azure ML, DevOps Services
- GCP: Vertex AI, Cloud Build, GKE
Qualifications
- Bachelor's or Master's in Computer Science, IT, Data Science, or a related field.
- Relevant industry certifications preferred (e.g., AWS Certified DevOps Engineer, Microsoft AI Engineer).
- Strong communication and presentation skills.
Experience
- Minimum 6 months to 1 year of training experience (mandatory).
- 3+ years of overall technical experience in AI, DevOps, and cloud environments.
How to Apply
Interested candidates are invited to share their updated resume at:
Job Type: Full-time
Pay: ₹20, ₹50,000.00 per month
Work Location: In person
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