AI/ML Engineer

• Develop and implement machine learning models (classification, regression, clustering, deep learning)
• Work with large datasets: data cleaning, preprocessing, and feature engineering
• Train, test, and optimize models for performance and scalability
• Deploy models into production environments (APIs, cloud platforms)
• Collaborate with data scientists, software engineers, and business teams
• Monitor and maintain models (performance tracking, retraining)
• Research and apply new AI techniques and frameworks

• Programming: Python (preferred), R, or Java
• Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn
• Data handling: Pandas, NumPy
• SQL and database management
• Understanding of algorithms and data structures
• Knowledge of statistics and probability

ML Concepts

• Supervised & Unsupervised Learning
• Deep Learning (Neural Networks, CNNs, RNNs)
• Natural Language Processing (NLP)
• Model evaluation metrics (accuracy, precision, recall, F1-score), * Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
• Strong mathematical foundation (linear algebra, statistics)
• Relevant project or internship experience