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