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βœ… AI Career Paths & Skills to Master πŸ€–πŸš€πŸ’Ό

πŸ”Ή 1️⃣ Machine Learning Engineer
πŸ”§ Role: Build & deploy ML models
🧠 Skills: Python, TensorFlow/PyTorch, Data Structures, SQL, Cloud (AWS/GCP)

πŸ”Ή 2️⃣ Data Scientist
πŸ”§ Role: Analyze data & create predictive models
🧠 Skills: Statistics, Python/R, Pandas, NumPy, Data Viz, ML

πŸ”Ή 3️⃣ NLP Engineer
πŸ”§ Role: Chatbots, text analysis, speech recognition
🧠 Skills: spaCy, Hugging Face, Transformers, Linguistics basics

πŸ”Ή 4️⃣ Computer Vision Engineer
πŸ”§ Role: Image/video processing, facial recognition, AR/VR
🧠 Skills: OpenCV, YOLO, CNNs, Deep Learning

πŸ”Ή 5️⃣ AI Product Manager
πŸ”§ Role: Oversee AI product strategy & development
🧠 Skills: Product Mgmt, Business Strategy, Data Analysis, Basic ML

πŸ”Ή 6️⃣ Robotics Engineer
πŸ”§ Role: Design & program industrial robots
🧠 Skills: ROS, Embedded Systems, C++, Path Planning

πŸ”Ή 7️⃣ AI Research Scientist
πŸ”§ Role: Innovate new AI models & algorithms
🧠 Skills: Advanced Math, Deep Learning, RL, Research papers

πŸ”Ή 8️⃣ MLOps Engineer
πŸ”§ Role: Deploy & manage ML models at scale
🧠 Skills: Docker, Kubernetes, MLflow, CI/CD, Cloud Platforms

πŸ’‘ Pro Tip: Start with Python & math, then specialize!

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