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As a Full-Stack / AI Platform Engineer - Senior Associate at PwC Acceleration Center India, you will play a vital role in leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making. You will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Your responsibilities will include: - Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making - Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems - Developing and implementing algorithms to enhance data analysis processes and improve client outcomes - Applying machine learning techniques to optimize client operations and achieve strategic goals - Collaborating with client teams to understand their needs and deliver tailored data solutions - Building and maintaining relationships with clients to identify opportunities for data-driven improvements - Utilizing Python and other data analysis software to develop and deploy scalable data solutions - Navigating complex situations to deliver quality work and grow personal skills and technical knowledge - Mentoring junior team members and guiding them in the application of data analysis methodologies You are expected to have at least a Bachelor's degree and a minimum of 4 years of experience. Oral and written proficiency in English is required. Preference will be given to candidates with expertise in at least one of the following fields of study: Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance. Additionally, having experience in any of the following areas will set you apart: - Cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Strong Python skills and working knowledge of SQL - Experience building and deploying AI/ML solutions - Deep skill in TypeScript, React, and Node.js, with strong Next.js (App Router) experience - Developing backend APIs and services using Python (FastAPI, Flask) and/or Node.js (Express) to serve AI capabilities to end users - Familiarity with Docker and containerized deployment workflows - Hands-on work with agentic AI and orchestration frameworks (LangChain, LangGraph, Claude Agent SDK), job queues, and event-driven systems - Experience putting LLM and AI APIs into production, plus a strong grasp of application security - Demonstrating proficiency in Python for machine learning applications - Utilizing data analysis software to derive actionable insights - Engaging in algorithm development to enhance data processing - Applying analytic research skills to support client projects - Adapting to diverse client needs in a fast-paced environment As a Full-Stack / AI Platform Engineer - Senior Associate at PwC Acceleration Center India, you will play a vital role in leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making. You will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Your responsibilities will include: - Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making - Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems - Developing and implementing algorithms to enhance data analysis processes and improve client outcomes - Applying machine learning techniques to optimize client operations and achieve strategic goals - Collaborating with client teams to understand their needs and deliver tailored data solutions - Building and maintaining relationships with clients to identify opportunities for data-driven improvements - Utilizing Python and other data analysis software to develop and deploy scalable data solutions - Navigating complex situations to deliver quality work and grow personal skills and technical knowledge - Mentoring junior team members and guiding them in the application of data analysis methodologies You are expected to have at least a Bachelor's degree and a minimum of 4 years of experience. Oral and written proficiency in English is required. Preference will be given to candidates with expertise in at least one of the following fields of study: Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance. Additionally, having experience in any of the following areas will set you apart: - Cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Strong Python skills and working knowledge of SQL - Experience building and deploying AI/ML solutions - Deep skill in TypeScript, React, and Node.js, with strong Next.js (App Router) experience - Developin
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