Career Roadmap

Career Scope After Artificial Intelligence

1. AI/ML Engineer
Role: Develop machine learning models, handle datasets, and automate decision-making.
Skills Required: Python, TensorFlow, Scikit-Learn, Pandas, NumPy, basic algorithms
Job Demand: High demand globally for AI talent across industries.
2. Data Analyst
Role: Analyze large datasets to find patterns, trends, and insights.
Skills Required: SQL, Python, Power BI/Tableau, Excel, basic statistics
Job Demand: Strong demand in business, healthcare, finance, and tech.
3. Data Scientist
Role: Work with complex data to build predictive models and perform data-driven decision-making.
Skills Required: Python, R, SQL, Machine Learning basics, data visualization
Job Demand: Critical role in AI-driven decision-making and product strategy.
4. Machine Learning Engineer
Role: Design and deploy machine learning models into production environments.
Skills Required: Python, TensorFlow, PyTorch, APIs, software engineering principles
Job Demand: In-demand in AI-driven product companies and startups.
5. AI Developer for Chatbots and NLP
Role: Develop chatbots, voice assistants, and Natural Language Processing (NLP) solutions.
Skills Required: Python, NLP libraries (spaCy, NLTK), chatbot frameworks
Job Demand: Growing market with increasing use of conversational AI.
6. Computer Vision Developer
Role: Work on image processing, object detection, facial recognition, etc.
Skills Required: OpenCV, TensorFlow, deep learning
Job Demand: High demand in healthcare, security, automotive, and robotics.
7. AI Software Engineer
Role: Build software that integrates AI components.
Skills Required: Python, APIs, cloud platforms (AWS, Azure, Google Cloud)
Job Demand: Essential in deploying scalable AI solutions.
8. Robotic Process Automation (RPA) Developer
Role: Automate repetitive tasks using AI-driven RPA tools.
Skills Required: Python, RPA tools (UiPath, Blue Prism)
Job Demand: Used in enterprise automation in finance, HR, and customer service.