Description

About Blue Yonder Blue Yonder is a global leader in digital supply chain transformation, helping retailers, manufacturers, and logistics providers optimize planning, fulfillment, delivery, and returns using advanced AI-driven solutions. Job Summary Blue Yonder is looking for an Associate Data Science Consultant with strong expertise in Artificial Intelligence and Machine Learning to design, develop, and deploy scalable AI solutions. The role focuses on conversational AI, agentic AI systems, and ML models that enhance customer experience and operational efficiency. Key Responsibilities Design and implement scalable AI, ML, conversational, and agentic AI solutions Develop high-quality, maintainable code using Python, Scala, or similar languages Build, train, and deploy machine learning models using TensorFlow, Keras, and PyTorch Integrate and preprocess data from multiple sources, ensuring data quality and integrity Develop and maintain data pipelines and ETL workflows for AI/ML systems Collaborate with cross-functional teams to create prototypes and proof-of-concepts Monitor, optimize, and scale model performance and accuracy Develop and maintain chatbots and voice assistants using Dialogflow, Amazon Lex, and Microsoft Bot Framework Integrate AI solutions with third-party APIs and enterprise systems Troubleshoot AI model deployment, data processing, and cloud infrastructure issues Create and maintain technical documentation, including architecture diagrams and SOPs Research emerging Agentic AI technologies and advanced AI algorithms Evaluate and recommend AI tools, frameworks, and platforms based on project needs Provide technical guidance and mentorship to junior team members Required Skills & Expertise Strong knowledge of AI, Machine Learning, and Data Science concepts Proficiency in Python and experience with ML libraries Hands-on experience with cloud computing platforms Understanding of data analysis, data processing, and data quality management Experience with conversational AI platforms (Amazon Lex, Dialogflow, Microsoft Bot Framework) Familiarity with ETL pipelines and large-scale data workflows Strong problem-solving and communication skills Education UG: Any Graduate PG: Any Postgraduate

Role and Responsibilities

• Key Responsibilities Design and implement scalable AI, ML, conversational, and agentic AI solutions Develop high-quality, maintainable code using Python, Scala, or similar languages Build, train, and deploy machine learning models using TensorFlow, Keras, and PyTorch Integrate and preprocess data from multiple sources, ensuring data quality and integrity Develop and maintain data pipelines and ETL workflows for AI/ML systems Collaborate with cross-functional teams to create prototypes and proof-of-concepts Monitor, optimize, and scale model performance and accuracy Develop and maintain chatbots and voice assistants using Dialogflow, Amazon Lex, and Microsoft Bot Framework Integrate AI solutions with third-party APIs and enterprise systems Troubleshoot AI model deployment, data processing, and cloud infrastructure issues Create and maintain technical documentation, including architecture diagrams and SOPs Research emerging Agentic AI technologies and advanced AI algorithms Evaluate and recommend AI tools, frameworks, and platforms based on project needs Provide technical guidance and mentorship to junior team members