Back to Browse Jobs
Naukri Assist
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Mumbai · On-site · 4-7 Yrs · Oct 14
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
Per Hour - 900 to 1300
Responsibilities
- MLOps Trainer to deliver practical, industry-oriented training covering Artificial Intelligence, Machine Learning, AI-driven IT Operations, and Machine Learning Operations. The trainer should have strong hands-on experience in developing, deploying, monitoring, and managing AI/ML solutions in real-world environments.
- Deliver instructor-led training on AI/ML, AIOps, and MLOps.
- Explain concepts from foundation to advanced level using practical examples.
- Conduct hands-on coding, model development, deployment, and monitoring activities.
- Guide learners through real-world AI/ML and MLOps projects.
- Demonstrate AI-driven IT operations, monitoring, automation, and incident management.
- Teach ML model deployment, versioning, CI/CD, monitoring, and lifecycle management.
- Conduct assessments, coding exercises, and practical technical activities.
- Support learners with debugging, troubleshooting, and problem-solving.
- Follow the provided course structure, session plan, and learning outcomes.
- Provide learner feedback and coordinate with the training team.
Qualifications
- Minimum 4 years of relevant industry/training experience
- Freelancer
- Python &
- Machine Learning
- Data Preprocessing &
- Feature Engineering
- Supervised &
- Unsupervised Learning
- Deep Learning fundamentals
- TensorFlow / PyTorch / Scikit-learn
- AIOps &
- IT Operations
- Monitoring &
- Observability
- Anomaly Detection &
- Event Correlation
- Root Cause Analysis &
- Automation
- Git &
- GitHub
- Docker &
- Kubernetes
- CI/CD Pipelines
- MLflow / Experiment Tracking
- Model Deployment &
- Monitoring
- Cloud - AWS / Azure / GCP
- Basic knowledge of Generative AI &
- LLMs
Nice to have
- Experience with real-world AI/ML, AIOps, or MLOps implementations.
- Strong knowledge of DevOps, Cloud, Kubernetes, and CI/CD.
- Experience with tools such as MLflow, Kubeflow, Airflow, Grafana, Prometheus, Splunk, Dynatrace, or similar platforms.
- Experience training college students or working professionals.
- Strong communication, presentation, and mentoring skills.
- Ability to explain complex technical concepts in a simple and practical manner.
- Minimum 4 years of relevant AI/ML, AIOps, MLOps, ML Engineering, DevOps, or Cloud experience.
- Strong hands-on knowledge of AI/ML and production deployment practices.
- Prior experience as an AI/ML Engineer, MLOps Engineer, AIOps Engineer, DevOps Engineer, Data Scientist, or Technical Trainer is preferred.
- Observability | Automation | Training &
- Mentoring
- QA,
Education
- UG: Any Graduate
- PG: Any Postgraduate
- Key Skills data preprocessingaiopsci/cd pipelinesairflowaidynatraceanomaly detectiondevops engineerartificial intelligencedockerclouddeep learningautomationcorrelationdevopsdata scientistdebuggingawsazuredeployment
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 19 October 2026
- How do I apply for Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M at Naukri Assist?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Naukri Assist may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Technical Trainer AI/ML, AIOps & MLOps - Freelance AI/M role at Naukri Assist?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.