Senior MLOps Engineer Trainer (Part-Time / Weekend)
Company: ShiftToTech Academy
Location: Remote (Live Online Classes)
Employment Type: Part-Time / Freelance (Weekend Trainer)
About ShiftToTech Academy
ShiftToTech Academy is a fast-growing EdTech company specializing in AI, MLOps, DevOps, Cloud Computing, Data Engineering, and Platform Engineering. We help working professionals transition into high-paying technology careers through live training, hands-on labs, and real-world projects.
We are looking for an experienced Senior MLOps Engineer Trainer who can deliver advanced live online training and mentor professionals preparing for MLOps, AI Infrastructure, and LLMOps roles.
Key Responsibilities
- Deliver live online weekend training sessions.
- Teach production-ready MLOps concepts using hands-on demonstrations.
- Conduct practical labs and enterprise-grade capstone projects.
- Guide students in deploying, monitoring, and scaling ML models.
- Conduct mock interviews, resume reviews, and career mentoring.
- Keep course content aligned with the latest AI and MLOps technologies.
Required Skills & TechnologiesCloud Platforms
- AWS (EC2, IAM, VPC, S3, SageMaker)
- Kubernetes (EKS preferred)
- Docker
MLOps
- MLflow
- Kubeflow
- Airflow
- DVC
- Argo Workflows
- Feast Feature Store
- Evidently AI
- Great Expectations
- AWS SageMaker
Model Serving
- NVIDIA Triton Inference Server
- TensorFlow Serving
- TorchServe
- Seldon Core
- ONNX
- TensorRT
- KEDA Autoscaling
LLMOps & Generative AI
- LangChain
- LangSmith
- vLLM
- Ollama
- Retrieval-Augmented Generation (RAG)
- AWS Bedrock
- Pinecone
- pgvector
- Vector Databases
Monitoring & Observability
- Prometheus
- Grafana
- OpenTelemetry
- Loki
Version Control & CI/CD
- Git
- GitHub Actions
- Jenkins (basic understanding)
Eligibility
- 5+ years of hands-on experience in MLOps, AI Infrastructure, or Machine Learning Engineering.
- Experience deploying ML models in production.
- Strong Kubernetes and AWS knowledge.
- Excellent communication and mentoring skills.
- Prior teaching or corporate training experience is preferred.
Preferred Certifications
- AWS Certified Machine Learning – Specialty
- AWS Certified DevOps Engineer – Professional
- Certified Kubernetes Administrator (CKA)
What We Offer
- Flexible weekend teaching schedule.
- Competitive per-session compensation.
- Long-term trainer engagement.
- Opportunity to teach cutting-edge AI and MLOps technologies.
- Work with a passionate EdTech team.
Apply Now
Interested candidates can share:
- Updated Resume
- LinkedIn Profile
- GitHub Profile
- Relevant Certifications
Pay: ₹11,000.00 - ₹19,305.17 per month
Experience:
- handson: 3 years (Preferred)
Work Location: Remote
