🤔 AI Career Guidance Kya Hai?
Log 'AI career' bolte hain jaise yeh ek single thing hai — nahi hai. 2026 mein AI ke andar 10+ distinct career paths exist karte hain, har ek alag skills, alag salary band, alag personality fit ke saath. Pehla — AI Research Scientist (PhD, research labs jaise Google DeepMind, Anthropic, Sarvam AI — algorithms invent karte hain). Doosra — AI Engineer (BTech, applied work, products banate hain). Teesra — ML Engineer (model training + deployment focused). Chautha — MLOps Engineer (infrastructure, pipelines, monitoring). Paanchwa — Data Engineer (data pipelines, AI ko fuel deta hai). Chhata — Data Scientist (analytics + ML, business decisions). Saatwa — AI Product Manager (product strategy, no coding required but technical understanding). Aathwa — Prompt Engineer (LLM optimization, no formal coding but linguistic+logical). Nawan — AI Safety/Ethics Researcher (policy, alignment, red-teaming). Daswan — Applied AI Consultant (companies ko AI implement karne mein help).
Indian market mein iska distribution kuch aisa hai: Engineering roles 60% (Bangalore/Hyderabad/Pune heavy), Data roles 20% (mostly metros), Product 10% (Bangalore/Mumbai), Research 5% (IISc/IIT/few labs), Specialized (safety/policy/prompt) 5%. Salary range bhi alag — Research 30-1Cr+, Engineering 8-80 LPA, Product 25-1.5 Cr, Data 6-50 LPA, Prompt 8-30 LPA.
Iss chat room mein hum aapki current skills + interest + life situation + risk tolerance ke basis pe yeh decide karte hain ki konsa path. Aap commerce graduate hain? Data analyst route. BTech mechanical? Applied AI consultant + retraining. Strong English+writing? Prompt engineering + Product. Math lover? Research-leaning ML.
