AI Engineer

Key Requirements

• Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or a related field.
• Strong knowledge of Python.
• Understanding of Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM, and Clustering.
• Basic knowledge of Deep Learning and neural networks.
• Familiarity with NumPy, Pandas, Scikit-learn, and Matplotlib/Seaborn.
• Basic understanding of TensorFlow or PyTorch.
• Knowledge of statistics, probability, and data preprocessing.
• Understanding of SQL and databases.
• Familiarity with Git/GitHub.
• Good problem-solving and analytical skills.
• Academic projects, internships, or certifications in AI/ML are an advantage. Key Responsibilities
• Assist in developing and testing machine learning models.
• Collect, clean, preprocess, and analyze datasets.
• Perform feature engineering and exploratory data analysis.
• Train, evaluate, and improve ML models.
• Implement basic deep learning models under guidance.
• Develop Python scripts and notebooks for data processing and model development.
• Evaluate model performance using appropriate metrics.
• Assist in deploying ML models into applications or APIs.
• Monitor model performance and troubleshoot issues.
• Work with senior engineers and data scientists on AI/ML projects.
• Maintain documentation for datasets, models, experiments, and results.
• Stay updated with emerging AI/ML technologies and tools.