1. Data Scientist
   A data scientist’s job is to extract valuable insights from raw data. This could involve descriptive analytics, predictive analytics, or using machine learning models to analyse and forecast outcomes.
   
   Key Skills:
   
   
   • Programming languages: Python, R
     
     
   • Strong fundamentals in mathematics and statistics
     
     
   • Communication skills to explain data insights to business stakeholders
     
     
2. Salary Range:
   Entry-level: $60,000+
   Mid-level: $100,000+
   Senior-level: $150,000+
   
   Learning Resources:
   To learn data science using free resources, check out our data science roadmap video on YouTube, with a week-by-week study plan.
   
   
3. AI Engineer (ML Engineer)
   An AI engineer combines data science skills and software engineering to build, train, and deploy machine learning models. The role also involves integrating these models into production environments.
   
   Key Skills:
   
   
   • Proficiency in machine learning algorithms and models
     
     
   • Strong knowledge of Python, machine learning libraries (e.g., TensorFlow, PyTorch)
     
     
   • Software engineering skills for deploying models (DevOps skills, CI/CD)
     
     
4. Salary Range:
   Entry-level: $70,000+
   Mid-level: $110,000+
   Senior-level: $160,000+
   
   
5. NLP Engineer & Computer Vision Engineer
   These are specialized AI engineer roles. An NLP engineer focuses on language-related tasks, while a computer vision engineer specializes in image processing and visual data interpretation.
   
   Key Skills (NLP):
   
   
   • Natural Language Processing libraries (e.g., spaCy, NLTK)
     
     
   • Machine learning expertise
     
     
   • Understanding of deep learning for NLP applications
     
     
6. Key Skills (Computer Vision):
   
   
   • OpenCV, YOLO, other vision-related libraries
     
     
   • Knowledge of image recognition and classification techniques
     
     
7. Salary Range:
   Similar to AI Engineers, these roles offer a broad salary range based on location and company.
   
   
8. MLOps Engineer
   MLOps is the DevOps equivalent for machine learning. These engineers focus on setting up CI/CD pipelines for ML models and integrating them into production environments.
   
   Key Skills:
   
   
   • Familiarity with tools like Amazon SageMaker, MLflow, Kubernetes, Docker
     
     
   • Strong understanding of machine learning processes
     
     
9. Salary Range:
   Entry-level: $80,000+
   Mid-level: $120,000+
   Senior-level: $170,000+
   
   
10. Data Engineer
    Data engineers create data pipelines that provide the clean, accessible data required for AI projects. Without them, data scientists and AI engineers wouldn’t be able to perform their tasks effectively.
    
    Key Skills:
    
    
    • SQL, Python, Apache Spark, Hadoop
      
      
    • Cloud platforms (AWS, GCP, Azure)
      
      
    • Data architecture design
      
      

Salary Range:
Entry-level: $65,000+
Mid-level: $100,000+
Senior-level: $140,000+