AI/ML Engineer

Key Responsibilities Develop, train, and deploy machine learning and AI models for production environments. Perform data preprocessing, feature engineering, and model evaluation. Implement algorithms for prediction, classification, recommendation, or automation use cases. Collaborate with product, engineering, and business teams to integrate AI solutions into workflows. Optimize model accuracy, scalability, and performance. Stay updated with the latest AI/ML research and tools to enhance project outcomes. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. 2+ years of industry experience in applying machine learning and AI techniques. Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Strong knowledge of data processing (Pandas, NumPy) and visualization (Matplotlib, Seaborn, Plotly). Experience working with APIs, cloud services (AWS, GCP, Azure), or deployment workflows. Solid problem-solving, debugging, and communication skills. Preferred Qualifications Exposure to NLP, computer vision, or time-series modeling. Familiarity with MLOps tools (MLflow, Docker, Kubernetes, CI/CD). Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop). GitHub/portfolio showcasing previous AI/ML projects.