Description:
Data Scientist – ML, GenAI & Agentic AI Education Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field Strong academic foundation in statistics, probability, and machine learning Core Experience 5–8 years of professional experience in Data Science, Machine Learning, or Applied AI Hands-on experience building, training, and deploying ML models in production environments Strong understanding of data preprocessing, feature engineering, and model evaluation Experience working on end-to-end ML workflows under guidance of senior/principal team members Ability to translate business and product requirements into data-driven solutions Machine Learning & MLOps Practical experience using Amazon SageMaker for: Model training and tuning Model deployment and inference Experience with common ML algorithms using scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps concepts such as: Model versioning Experiment tracking Basic monitoring and retraining workflows Working knowledge of Docker and exposure to Kubernetes-based deployments Experience collaborating with ML engineers to operationalize models Generative AI & LLMs Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines , including: Document ingestion and chunking Embedding generation