AI ENGINEER

🔹 1. AI Model Development Design and build machine learning (ML) and deep learning (DL) models

Work with frameworks like TensorFlow, PyTorch, Scikit-learn

Train, test, and optimize models for accuracy and performance

🔹 2. Data Handling & Preprocessing Collect and clean structured/unstructured data

Perform data preprocessing and feature engineering

Work with large datasets using SQL, Python, or big data tools

🔹 3. Algorithm Implementation Develop AI algorithms such as: Natural Language Processing (NLP)

Computer Vision

Recommendation Systems

Improve model efficiency and scalability

🔹 4. Model Deployment & Integration Deploy AI models into production environments

Integrate AI solutions with web or mobile applications

Use cloud platforms (AWS, Azure, Google Cloud)

🔹 5. Performance Monitoring Monitor model accuracy and performance

Update and retrain models when required

Fix bugs and improve system reliability

🔹 6. Collaboration & Communication Work with software developers, data scientists, and business teams

Explain AI concepts to non-technical stakeholders

Document AI solutions and workflows

🔹 7. Research & Innovation Stay updated with latest AI trends

Experiment with new tools and technologies

Improve existing AI systems

🛠 Required Skills Technical Skills: Programming: Python, R, Java

ML/DL Frameworks

Data structures & algorithms

Statistics & Mathematics

Cloud & DevOps knowledge

Soft Skills: Problem-solving

Critical thinking

Communication skills

Team collaboration