Deputy Manager | Data Scientist | Bengaluru | Sustainability & Emerging Assurance

Job description

Job requisition ID :: 108282 Date: Jul 8, 2026 Location: Bengaluru Designation: Deputy Manager Entity: Deloitte Touche Tohmatsu India LLP ## **You Will** - Design, develop, and deploy machine learning and AI solutions to solve complex business problems. - Build and implement end-to-end machine learning models, from data preparation and feature engineering to deployment. - Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) pipelines, chatbots, and intelligent assistants. - Build and integrate REST APIs and FastAPI services for model deployment and application integration. - Develop and maintain data pipelines for data ingestion, preprocessing, transformation, and validation. - Collaborate with business stakeholders and Agile Scrum teams to gather requirements and deliver scalable AI solutions. - Support the implementation of agent-based workflows and integrate AI solutions with enterprise systems. - Monitor and evaluate the performance of ML and LLM models while ensuring data quality and system reliability. - Document models, APIs, workflows, and technical implementations for knowledge sharing and maintenance. - Stay current with emerging trends in Machine Learning, Generative AI, LLMs, and Responsible AI practices. ## **Responsibilities** - Leverage machine learning, statistical modeling, and data analysis techniques to deliver scalable business solutions. - Perform exploratory data analysis, data cleansing, validation, and quality checks to ensure reliable model outcomes. - Develop predictive models using regression, clustering, classification, ensemble methods, and other machine learning algorithms. - Build and integrate AI applications using LLMs, embeddings, vector databases, and retrieval-based architectures. - Assist in developing agent-based AI workflows using frameworks such as LangChain or Semantic Kernel. - Support NLP and Generative AI use cases, including prompt engineering and document retrieval pipelines. - Implement monitoring and observability practices for deployed ML and LLM applications. - Identify opportunities to automate business processes using AI, Machine Learning, and data-driven insights. - Conduct experiments, validate hypotheses, and continuously improve model performance. - Ensure adherence to Responsible AI principles, including fairness, explainability, governance, and compliance. ## **Qualifications** - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field. - Strong proficiency in Python, SQL, Machine Learning, REST API development, and FastAPI. - Experience building end-to-end machine learning solutions, including data preprocessing, feature engineering, model development, and deployment. - Strong understanding of statistical modeling techniques such as Regression, Logistic Regression, Clustering, Decision Trees, Random Forests, KNN, and Ensemble Methods. - Basic hands-on experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures. - Understanding of prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) concepts. - Familiarity with LangChain, Semantic Kernel, Model Context Protocol (MCP), or similar AI agent frameworks is preferred. - Knowledge of NLP, deep learning, transformers, and fine-tuning techniques is an added advantage. - Experience with data visualization, dashboards, and data mining concepts. - Strong analytical, problem-solving, communication, and stakeholder management skills with the ability to work effectively in Agile environments.