Associate AI/ML Engineer

Role Overview: At PwC, as an associate in the data and analytics engineering team, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Additionally, if you are in artificial intelligence and machine learning, you will be responsible for developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. Key Responsibilities: - Develop and implement conversational AI solutions that meet client needs. - Build and train natural language processing models to improve accuracy and understanding. - Design and develop conversational interfaces that are intuitive and easy for users to navigate. - Work with cross-functional teams to integrate conversational AI solutions into existing systems. - Troubleshoot and resolve technical issues related to conversational AI solutions. - Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation. Qualifications Required: - Mandatory skill sets: AI Engineer, NLP - Preferred skill sets: AI Engineer, NLP - Years of experience required: 2-4 Years - Education Qualification: BE, B.Tech, MCA, M.Tech - Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering - Degrees/Field of Study preferred: Not specified Additional Details: At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work, powered by technology in an innovative environment, will enable you to make a tangible impact in the real world. PwC believes in providing equal employment opportunities without discrimination based on various factors and strives to create an inclusive environment for personal and firm growth. Role Overview: At PwC, as an associate in the data and analytics engineering team, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Additionally, if you are in artificial intelligence and machine learning, you will be responsible for developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. Key Responsibilities: - Develop and implement conversational AI solutions that meet client needs. - Build and train natural language processing models to improve accuracy and understanding. - Design and develop conversational interfaces that are intuitive and easy for users to navigate. - Work with cross-functional teams to integrate conversational AI solutions into existing systems. - Troubleshoot and resolve technical issues related to conversational AI solutions. - Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation. Qualifications Required: - Mandatory skill sets: AI Engineer, NLP - Preferred skill sets: AI Engineer, NLP - Years of experience required: 2-4 Years - Education Qualification: BE, B.Tech, MCA, M.Tech - Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering - Degrees/Field of Study preferred: Not specified Additional Details: At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work, powered by technology in an innovative environment, will enable you to make a tangible impact in the real world. PwC believes in providing equal employment opportunities without discrimination based on various factors and strives to create an inclusive environment for personal and firm growth.