Job
Description
As an Associate Director Data Scientist with GenAI, your role will involve developing and implementing AI models and pipelines to address business needs. You will design and deploy machine learning solutions on Azure, ensuring performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Additionally, you will build and integrate REST APIs using Flask to enable seamless model access for other applications. Containerizing models and applications with Docker to streamline deployment and improve portability will also be part of your tasks. Collaborating with cross-functional teams to understand project goals and create custom AI solutions is essential. You will need to stay updated on the latest advancements in Generative AI, LLMs, and cloud technologies, and optimize models for accuracy, performance, and inference speed based on real-time data. Key Responsibilities: - Develop and implement AI models and pipelines using LLMs - Design and deploy machine learning solutions on Azure - Use Python for data preprocessing, model development, and experimentation - Build and integrate REST APIs using Flask - Containerize models and applications with Docker - Collaborate with cross-functional teams to create custom AI solutions - Stay updated on advancements in Generative AI, LLMs, and cloud technologies - Optimize models for accuracy, performance, and inference speed based on real-time data Qualifications: - 11+ years of experience in data science with LLMs and Generative AI models in industries like CPG, Retail, Supply Chain, etc. - Hands-on experience deploying AI/ML models on Azure and using cloud-based tools - Proficiency in Python, including data manipulation, model building, and evaluation - Experience with Dockerization for deploying and managing AI applications - Knowledge of Flask to build lightweight APIs for model integration - Strong problem-solving skills to translate business challenges into AI solutions - Good communication skills to work with stakeholders and present technical results effectively - Working knowledge in the finance domain is a must As an Associate Director Data Scientist with GenAI, your role will involve developing and implementing AI models and pipelines to address business needs. You will design and deploy machine learning solutions on Azure, ensuring performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Additionally, you will build and integrate REST APIs using Flask to enable seamless model access for other applications. Containerizing models and applications with Docker to streamline deployment and improve portability will also be part of your tasks. Collaborating with cross-functional teams to understand project goals and create custom AI solutions is essential. You will need to stay updated on the latest advancements in Generative AI, LLMs, and cloud technologies, and optimize models for accuracy, performance, and inference speed based on real-time data. Key Responsibilities: - Develop and implement AI models and pipelines using LLMs - Design and deploy machine learning solutions on Azure - Use Python for data preprocessing, model development, and experimentation - Build and integrate REST APIs using Flask - Containerize models and applications with Docker - Collaborate with cross-functional teams to create custom AI solutions - Stay updated on advancements in Generative AI, LLMs, and cloud technologies - Optimize models for accuracy, performance, and inference speed based on real-time data Qualifications: - 11+ years of experience in data science with LLMs and Generative AI models in industries like CPG, Retail, Supply Chain, etc. - Hands-on experience deploying AI/ML models on Azure and using cloud-based tools - Proficiency in Python, including data manipulation, model building, and evaluation - Experience with Dockerization for deploying and managing AI applications - Knowledge of Flask to build lightweight APIs for model integration - Strong problem-solving skills to translate business challenges into AI solutions - Good communication skills to work with stakeholders and present technical results effectively - Working knowledge in the finance domain is a must
