Ai/data Science Mumbai (India)

Job Summary: We are seeking an experienced AI/Data Science qualified with expertise in Python, LangChain, and generative AI. The ideal candidate will design and optimize AI/ML solutions for large-scale data extraction, model development, and analytics applications. This role involves advanced data handling, model building, and integration of up-to-date AI techniques into production systems. Key Responsibilities: Design, build, and troubleshoot LangChain applications using Python Develop and deploy machine learning and generative AI models for structured and unstructured data extraction Work with large datasets stored in Microsoft SQL Server, Azure Cosmos DB, and Azure Data Lake Implement supervised, unsupervised, and ensemble machine learning algorithms Develop and train deep learning models using TensorFlow or PyTorch Conduct data cleaning, transformation, and visualization to support modeling tasks Apply Gen AI and OpenAI tools for cutting-edge data search and analysis solutions Collaborate with cross-functional teams to translate business challenges into data science tasks Use version control tools (Git/GitHub) to manage code and model reproducibility Job Summary: We are seeking an experienced AI/Data Science qualified with expertise in Python, LangChain, and generative AI. The ideal candidate will design and optimize AI/ML solutions for large-scale data extraction, model development, and analytics applications. This role involves advanced data handling, model building, and integration of up-to-date AI techniques into production systems. Key Responsibilities: Design, build, and troubleshoot LangChain applications using Python Develop and deploy machine learning and generative AI models for structured and unstructured data extraction Work with large datasets stored in Microsoft SQL Server, Azure Cosmos DB, and Azure Data Lake Implement supervised, unsupervised, and ensemble machine learning algorithms Develop and train deep learning models using TensorFlow or PyTorch Conduct data cleaning, transformation, and visualization to support modeling tasks Apply Gen AI and OpenAI tools for cutting-edge data search and analysis solutions Collaborate with cross-functional teams to translate business challenges into data science tasks Use version control tools (Git/GitHub) to manage code and model reproducibility