IN Associate Chatbot Developer Advisory Corporate Advisory Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

SAP

Management Level

Associate

Job Description & Summary

At 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 about us.

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. "

Job Description & Summary:

A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

• Design and develop AI-driven chatbot solutions for internal and external stakeholders.
• Implement natural language understanding (NLU) and NLP algorithms to enhance chatbot accuracy.
• Integrate chatbots with APIs, databases, and enterprise systems.
• Train, test, and refine chatbot models to improve user experience.
• Work with UX/UI designers to create intuitive conversational flows.
• Monitor chatbot performance and optimize responses based on analytics.
• Collaborate with cross-functional teams, including developers, data scientists, and business analysts.
• Optimize prompt engineering, retrieval-augmented generation (RAG), and fine-tuning strategies.

Required Qualifications:

• 2+ of experience in Chatbot, Voicebots, IVR, Conversational AI space.
• Proven experience developing chatbots using platforms like Kore.ai, Yellow.ai, Microsoft Bot Framework, Dialogflow, or Rasa.
• Strong programming skills in Python, JavaScript, or Node.js.
• Knowledge of API integrations (REST, GraphQL) and database management (SQL, NoSQL).
• Familiarity with cloud platforms like Azure, AWS or Google Cloud.
• Understanding of machine learning and AI concepts.
• Strong problem-solving and debugging skills.
• Excellent communication and teamwork abilities.

Mandatory skill sets:

Chatbot, Voicebots, IVR, Conversational AI space, Kore.ai, Yellow.ai, Microsoft Bot Framework, Dialogflow, or Rasa, Python, JavaScript, or Node.js, REST, GraphQL, SQL, NoSQL, UX/UI.

Preferred skill sets:

Understanding of machine learning and AI concepts

Years of experience required:

2 to 4 years

Education qualification:

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Chatbots, Conversational AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date