AI ENGINEER

🔹 1. AI Model DevelopmentDesign and build machine learning (ML) and deep learning (DL) modelsWork with frameworks like TensorFlow, PyTorch, Scikit-learnTrain, test, and optimize models for accuracy and performance🔹 2. Data Handling & PreprocessingCollect and clean structured/unstructured dataPerform data preprocessing and feature engineeringWork with large datasets using SQL, Python, or big data tools🔹 3. Algorithm ImplementationDevelop AI algorithms such as:Natural Language Processing (NLP)Computer VisionRecommendation SystemsImprove model efficiency and scalability🔹 4. Model Deployment & IntegrationDeploy AI models into production environmentsIntegrate AI solutions with web or mobile applicationsUse cloud platforms (AWS, Azure, Google Cloud)🔹 5. Performance MonitoringMonitor model accuracy and performanceUpdate and retrain models when requiredFix bugs and improve system reliability🔹 6. Collaboration & CommunicationWork with software developers, data scientists, and business teamsExplain AI concepts to non-technical stakeholdersDocument AI solutions and workflows🔹 7. Research & InnovationStay updated with latest AI trendsExperiment with new tools and technologiesImprove existing AI systems🛠 Required SkillsTechnical Skills:Programming: Python, R, JavaML/DL FrameworksData structures & algorithmsStatistics & MathematicsCloud & DevOps knowledgeSoft Skills:Problem-solvingCritical thinkingCommunication skillsTeam collaboration