AI Career आणि Resources

AI/ML field मध्ये जबरदस्त career opportunities आहेत. Data Scientist, ML Engineer, AI Researcher, Prompt Engineer, AI Product Manager — वेगवेगळे paths आहेत. योग्य preparation केली तर top companies मध्ये job मिळते.

AI Career Paths

• ▸Data Scientist — data analyze करतो, ML models बनवतो, business insights देतो. Python, SQL, Statistics, ML.
• ▸ML Engineer — ML models production मध्ये deploy करतो, scale करतो. Software Engineering + ML.
• ▸Deep Learning / AI Researcher — नवीन algorithms, papers. Strong Math (Linear Algebra, Calculus, Probability).
• ▸AI/ML Ops Engineer — ML infrastructure, pipelines, monitoring. MLflow, Kubeflow, Docker.
• ▸Prompt Engineer / AI Application Developer — LLM apps बनवतो. Fastest growing role!
• ▸Data Engineer — data pipelines, warehouses. SQL, Spark, Airflow.

Salary Range (India, 2025)

Entry Level (0-2 years):
  Data Analyst:    ₹4-8 LPA
  Junior ML Eng:   ₹8-15 LPA

Mid Level (2-5 years):
  Data Scientist:  ₹15-30 LPA
  ML Engineer:     ₹20-40 LPA

Senior (5+ years):
  Senior ML Eng:   ₹40-80 LPA
  AI Lead:         ₹60-1.2 CR LPA

FAANG/Top Startups:
  ML Engineer:     ₹50L - ₹2CR+ (base + equity)

Learning Roadmap

• ▸Mathematics: Linear Algebra, Calculus, Probability, Statistics (3Blue1Brown YouTube)
• ▸Python: NumPy, Pandas, Matplotlib, scikit-learn
• ▸ML: Andrew Ng Coursera Machine Learning Specialization (must!)
• ▸Deep Learning: deeplearning.ai Deep Learning Specialization
• ▸Practice: Kaggle competitions — real datasets, community
• ▸Projects: GitHub वर portfolio बनवा — 3-5 projects minimum

Essential Tools

• ▸Google Colab / Kaggle Notebooks — free GPU
• ▸HuggingFace — pre-trained models hub
• ▸Weights & Biases (W&B) — experiment tracking
• ▸MLflow — ML lifecycle management
• ▸LangChain / LlamaIndex — LLM application framework
• ▸Streamlit / Gradio — quick ML app demos