Job description
 
                         Description  
  & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes.
Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Why PWC 
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.
This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world.
We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.
Learn more .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law.
We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth.
To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities: 
Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs.
o Build and train natural language processing models to improve accuracy and understanding.
o Design and develop conversational interfaces that are intuitive and easy for users to navigate.
o Work with cross-functional teams to integrate conversational AI solutions into existing systems.
o Troubleshoot and resolve technical issues related to conversational AI solutions.
o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.
Mandatory skill sets: 
AI Engineer, NLP 
Preferred skill sets: 
AI Engineer, NLP 
Years of experience required: 
8-12 Years 
Education Qualification : BE, B.Tech, MCA, M.Tech 
Education   
Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:
Certifications   
Required Skills  
Artificial Intelligence (AI), Machine Learning
Optional Skills  
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}
Desired Languages   
Travel Requirements  
Not Specified
Available for Work Visa Sponsorship?
 
No
Government Clearance Required?
 
No
Job Posting End Date  
 
                    
                    Required Skill Profession
 
                     
                    
                    Other General