Devops Trainer

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 practicesRequired Skills & ExpertiseDevOps & 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 strategiesLLMOps (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 guardrailsEligibility* 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 strong 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: aarthi.d@careertiq.com#Hiring #DevOps #MLOps #LLMOps #CloudComputing #AI #TrainerJobs #TechCareers