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AI Career Paths & Skills to Master π€ππΌ
πΉ 1οΈβ£ Machine Learning Engineer
π§ Role: Build & deploy ML models
π§ Skills: Python, TensorFlow/PyTorch, Data Structures, SQL, Cloud (AWS/GCP)
πΉ 2οΈβ£ Data Scientist
π§ Role: Analyze data & create predictive models
π§ Skills: Statistics, Python/R, Pandas, NumPy, Data Viz, ML
πΉ 3οΈβ£ NLP Engineer
π§ Role: Chatbots, text analysis, speech recognition
π§ Skills: spaCy, Hugging Face, Transformers, Linguistics basics
πΉ 4οΈβ£ Computer Vision Engineer
π§ Role: Image/video processing, facial recognition, AR/VR
π§ Skills: OpenCV, YOLO, CNNs, Deep Learning
πΉ 5οΈβ£ AI Product Manager
π§ Role: Oversee AI product strategy & development
π§ Skills: Product Mgmt, Business Strategy, Data Analysis, Basic ML
πΉ 6οΈβ£ Robotics Engineer
π§ Role: Design & program industrial robots
π§ Skills: ROS, Embedded Systems, C++, Path Planning
πΉ 7οΈβ£ AI Research Scientist
π§ Role: Innovate new AI models & algorithms
π§ Skills: Advanced Math, Deep Learning, RL, Research papers
πΉ 8οΈβ£ MLOps Engineer
π§ Role: Deploy & manage ML models at scale
π§ Skills: Docker, Kubernetes, MLflow, CI/CD, Cloud Platforms
π‘ Pro Tip: Start with Python & math, then specialize!
π Tap β€οΈ for more!
πΉ 1οΈβ£ Machine Learning Engineer
π§ Role: Build & deploy ML models
π§ Skills: Python, TensorFlow/PyTorch, Data Structures, SQL, Cloud (AWS/GCP)
πΉ 2οΈβ£ Data Scientist
π§ Role: Analyze data & create predictive models
π§ Skills: Statistics, Python/R, Pandas, NumPy, Data Viz, ML
πΉ 3οΈβ£ NLP Engineer
π§ Role: Chatbots, text analysis, speech recognition
π§ Skills: spaCy, Hugging Face, Transformers, Linguistics basics
πΉ 4οΈβ£ Computer Vision Engineer
π§ Role: Image/video processing, facial recognition, AR/VR
π§ Skills: OpenCV, YOLO, CNNs, Deep Learning
πΉ 5οΈβ£ AI Product Manager
π§ Role: Oversee AI product strategy & development
π§ Skills: Product Mgmt, Business Strategy, Data Analysis, Basic ML
πΉ 6οΈβ£ Robotics Engineer
π§ Role: Design & program industrial robots
π§ Skills: ROS, Embedded Systems, C++, Path Planning
πΉ 7οΈβ£ AI Research Scientist
π§ Role: Innovate new AI models & algorithms
π§ Skills: Advanced Math, Deep Learning, RL, Research papers
πΉ 8οΈβ£ MLOps Engineer
π§ Role: Deploy & manage ML models at scale
π§ Skills: Docker, Kubernetes, MLflow, CI/CD, Cloud Platforms
π‘ Pro Tip: Start with Python & math, then specialize!
π Tap β€οΈ for more!
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