• Develop and deploy machine learning models for predictive analytics, recommendation systems, NLP, and computer vision • Perform statistical analysis and data exploration to extract actionable insights • Design and implement AI/ML algorithms, including supervised and unsupervised learning techniques • Utilize Deep Learning frameworks (TensorFlow, PyTorch) for complex AI tasks • Work with big data processing frameworks such as Apache Spark and Dask • Collaborate with Data Engineers to optimize data pipelines and feature engineering • Implement model monitoring, validation, and optimization techniques • Use A/B testing and experimentation to refine models and improve decision-making • Deploy AI solutions in cloud environments (AWS, Azure, GCP) • Stay updated with AI/ML research trends and integrate state-of-the-art techniques into business applications