Trainers AI Machine Learning IT

Join Our Panel of Expert Trainers — AI · Machine Learning · IT

Colleve India Pvt Ltd | Freelance / Project-Based | Remote · Onsite · Hybrid - PAN India

Were building a curated panel of freelance trainers to deliver corporate training across the full AI, ML, and IT spectrum. We work with enterprise clients across India and the Middle East, and were expanding our roster of specialists we can bring in for high-quality, well-scoped engagements.

Why train with Colleve

• Steady, long-term project-based deal flow — we bring you the clients, scoping, and logistics; you focus on delivering
• Enterprise and institutional audiences, not entry-level batch churn
• Flexible engagements that fit around your existing work — take what suits you
• Competitive per-session / per-day rates, paid on time
• Opportunity to co-deliver alongside senior industry experts and grow your own profile

Domains were building depth in (specialists in any one area are welcome)

• Programming & foundations: Python, core IT fundamentals, data structures
• Data: Data Science, Data Engineering, Data Architecture, Analytics, SQL
• AI / ML: Machine Learning, Deep Learning, MLOps, model deployment
• Generative AI: LLMs, Prompt Engineering, RAG, AI agents
• Specialized AI: Computer Vision, NLP, Speech / Voice AI
• Cloud & infrastructure: AWS, Azure, GCP, DevOps, containers/Kubernetes
• Enterprise & security: Cybersecurity, data governance, IT service management

What we look for

• Hands-on, real-world experience in your domain (production experience valued over theory)
• Prior corporate or institutional training delivery — this is essential
• The ability to make complex concepts land for varied audiences, from analysts to leadership
• Comfort across online, offline, and hybrid formats
• Reliability and professionalism with enterprise clients

How to apply

Send us the following and well add you to our panel and reach out when a matching engagement comes up:

• Updated profile / resume (or LinkedIn)
• Total experience and specific training experience
• Domains and tools you can train on
• Fee expectation (per hour / per day)
• Availability and preferred delivery formats