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