Job Title: Trainer – AI - DevOps Engineer (SSC/Q8112)

Company: Orbiqe Technologies Pvt Ltd
Location: Sector 62, Noida, Uttar Pradesh
Interview Mode: Online
Employment Type: Full-Time
Sector: IT-ITeS | Skill Development

Role Summary:

We are seeking a passionate and TOT Certified Trainer for the AI - DevOps Engineer (SSC/Q8112) role, responsible for delivering competency-based training aligned with the NSQF and Sector Skill Council (IT-ITeS SSC) guidelines. The trainer will mentor and guide learners in mastering DevOps practices fused with AI, including MLOps, NLP, and custom AI deployments in CI/CD pipelines.

Key Responsibilities:

1. Candidate Counselling & Onboarding:
   • Guide students about career opportunities in AI-powered DevOps.
   • Assist in resolving learning challenges and setting performance goals.
2. Training Delivery:
   • Deliver training sessions based on the approved SSC curriculum for AI - DevOps Engineer (SSC/Q8112).
   • Teach foundational DevOps tools (Git, Jenkins, Docker, Kubernetes, CI/CD pipelines) along with AI/ML integration (MLOps, model deployment, monitoring).
   • Provide exposure to Natural Language Processing (NLP), Computer Vision, and Custom AI Product Development in DevOps environments.
3. Monitoring & Reporting:
   • Track daily attendance and learner participation.
   • Prepare and submit accurate and timely MIS reports.
4. Assessment & Certification:
   • Conduct pre-assessments and readiness evaluations.
   • Ensure students are well-prepared for final certification assessments.
   • Target 95%+ certification success rate for enrolled candidates.
5. Placement Readiness:
   • Motivate and coach candidates to achieve high grades and improve employability.
   • Provide mock interviews, resume reviews, and exposure to real-world project scenarios.

Technical Focus Areas:

• DevOps Tools & Platforms: Git, Jenkins, Docker, Ansible, Kubernetes, CI/CD Pipelines
• AI & ML Integration: MLflow, TensorFlow Serving, PyTorch Lightning, model versioning and deployment
• MLOps: Experiment tracking, automated model testing, scalable AI delivery
• NLP & CV Projects: Hands-on exercises in text processing, sentiment analysis, object detection, etc.
• Cloud & Automation: Exposure to AWS, Azure DevOps, GCP, and infrastructure-as-code (Terraform)

Eligibility Criteria (As per NSQF Guidelines):

• TOT Certified Trainer for job role SSC/Q8112 by IT-ITeS Sector Skill Council
• Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent
• Experience:
  • Minimum 2–5 years of industry/training experience in DevOps or AI/ML domain
  • Familiarity with AI-driven DevOps workflows and MLOps lifecycle
• Essential Skills: Strong communication, presentation skills, learner engagement, and digital training delivery

What You Gain:

• Work on national skilling projects with future-ready technologies
• Access to digital training platforms and sector-aligned content
• Industry-recognized role in upskilling India’s tech workforce
• Competitive salary and performance recognition

Education Level : Bachelor's Degree

Technical Education : N/A

Certificate : N/A

Industrial Certificate : Experience

Key Skills
AI & Machine Learning, DevOps & Automation, Tools & Frameworks, Teamwork, Problem Solving, Collaboration & Agile, Monitoring & Observability

Other Skills
Time Management

• English - Reading, Writing, Speaking
• Hindi - Reading, Writing, Speaking