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

Location: Maharashtra (In office)

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 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: [email protected]

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

📌 Devops Trainer (Kopargaon)
🏢 CareerTiQ
📍 Kopargaon