We’re Hiring: DevOps Trainer (3–5 Years Experience)

Location: Maharashtra (On-site)

Are you passionate about DevOps, Cloud, and modern AI-driven infrastructure? Do you enjoy mentoring and shaping the next generation of engineers? We are looking for a DevOps Trainer who brings strong industry experience and a hands-on approach to teaching.

Join us to deliver high-impact, industry-aligned training and help learners build real-world, production-grade systems.

Key Responsibilities

Deliver instructor-led and hands-on training on DevOps, Cloud, and modern ML/AI Ops practices

Design and update curriculum, including labs, assignments, and real-world projects

Mentor learners in building and deploying scalable, production-ready applications

Guide students on capstone projects involving DevOps, MLOps, and LLMOps pipelines

Evaluate learner performance and provide actionable feedback

Stay current with evolving tools, platforms, and best practices

Required Skills & Expertise

DevOps & Cloud

Linux Administration

Git & GitHub (Version Control & Collaboration)

CI/CD Pipelines (Jenkins, GitHub Actions, GitLab CI)

Containerization & Orchestration (Docker, Kubernetes)

Infrastructure as Code (Terraform, Ansible, CloudFormation)

Cloud Platforms (AWS / Azure / GCP)

Scripting (Bash / Python)

Monitoring & Observability (Prometheus, Grafana, ELK Stack)

MLOps (Must-Have)

End-to-end ML lifecycle management





Experiment tracking (MLflow, Weights & Biases)

Data & model versioning (DVC)

Pipeline orchestration (Kubeflow, Airflow)

Model deployment (FastAPI, Flask, TorchServe, TensorFlow Serving)

CI/CD for ML pipelines

Model monitoring (Prometheus, Grafana, etc.), drift detection, and retraining strategies

LLMOps (Must-Have)

Building and deploying LLM-powered applications

Prompt engineering and evaluation techniques

RAG (Retrieval-Augmented Generation) pipelines

Vector databases (FAISS, Pinecone, Weaviate, Chroma)

Frameworks (LangChain, LlamaIndex)

Model serving & optimization (quantization, inference optimization)

API orchestration and agent-based workflows

LLM monitoring, evaluation, and guardrails

Eligibility

B.E./B.Tech in Computer Science, IT, Electronics, or related fields

3–5 years of hands-on industry experience in DevOps / Cloud / Infrastructure Automation

Proven experience building and deploying real-world, production-grade projects

Prior training/teaching experience is a solid plus

Relevant certifications in Cloud / DevOps / MLOps are preferred

✨ If you are passionate about teaching and have real-world expertise in DevOps, MLOps, and LLMOps, we would love to connect with you!

? Apply now: [email protected]

#Hiring #DevOps #MLOps #LLMOps #CloudComputing #AI #TrainerJobs #TechCareers

📌 Devops Trainer (Kopargaon)
🏢 CareerTiQ
📍 Kopargaon