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.Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Job Title: AI/ML Senior Associate
Location
: Bangalore (Hybrid)
Department
: Managed Services – Core Automation Team
Job Overview
We are seeking an experienced
AI/ML Senior Associate
to join our team focused on leveraging
AI technologies
to enhance operational efficiency in SAP managed services. The ideal candidate will have strong programming expertise in
Python
and hands-on experience in
building AI solutions
using
market-leading large language models (LLMs)
, as well as
native cloud services
(primarily
AWS
or
Azure AI services
). Your role will center on developing intelligent solutions that automate processes, integrate AI models, and improve overall system performance within SAP environments.
Key Responsibilities
- Design and implement AI solutions using Python and market-leading LLMs to drive automation and improve operational efficiency within SAP-managed services.
- Develop and integrate AI-powered applications using native AWS services (e.g., AWS Lex, AWS Lambda, Amazon Polly) or Azure AI services, focusing on process optimization and automation.
- Build and deploy conversational bots and AI-powered tools to support business processes in SAP environments, integrating AWS Lex, AWS Connect, or Azure Bot Services with existing systems.
- Leverage Python programming for building, testing, and deploying AI models, APIs, and automation workflows to enhance SAP system reliability and performance.
- Collaborate with cross-functional teams to integrate AI solutions with DevOps pipelines and ensure smooth deployments using CI/CD tools and cloud-native infrastructure.
- Design and manage serverless applications using AWS Lambda or Azure Functions to handle AI/ML workloads with scalability and high performance.
- Work with RESTful or GraphQL APIs to enable AI services, ensuring high standards for performance, security, and seamless integration with SAP systems.
- Contribute to the development of AI models, focusing on using LLMs for natural language understanding, predictive analytics, and automated decision-making.
- Collaborate with DevOps and integration teams to integrate AI solutions into SAP processes, ensuring end-to-end service excellence and operational success.
Required Skills And Qualifications
- Minimum 2 years of experience in AI/ML development, focusing on Python programming and AI model development.
- Proven experience with Python for building AI solutions, API development, and automation.
- Hands-on experience with market-leading LLMs (e.g., OpenAI GPT, Google BERT, or similar) and applying these models in business process automation and optimization.
- Experience with AWS or Azure AI services, such as AWS Lex, AWS Lambda, Azure Cognitive Services, and Azure Bot Services (AWS expertise is preferred but Azure experience is also acceptable).
- Experience building and deploying conversational bots and IVR systems using AWS Lex or Azure Bot Services.
- Strong understanding of serverless architectures and cloud-native technologies such as AWS Lambda or Azure Functions.
- Experience with RESTful or GraphQL API design for seamless integration of AI models into business processes.
- DevOps background, with hands-on experience in CI/CD pipelines, containerization, and cloud deployment practices using AWS DevOps tools or Azure DevOps.
- Collaborative mindset with the ability to work cross-functionally with DevOps, integration, and automation teams to drive project success.
Desired Skills And Qualifications
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and the ability to develop and fine-tune AI models.
- Knowledge of Agile methodologies for project management and team collaboration.
- Strong problem-solving skills, with the ability to troubleshoot and optimize AI models and cloud integrations.
- Certifications in AWS AI, Azure AI, or related AI/ML technologies are a plus.
Experience Requirements
- A minimum of 2 years of experience in AI/ML, with expertise in Python, AI model development, and cloud-native AI services (AWS or Azure).
- Proven ability to design and deploy AI solutions using LLMs, serverless architectures, and cloud-based AI services.
Education Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Relevant AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Fundamentals) are a plus.
Work Environment
- Collaborative and dynamic team environment with an opportunity to work on cutting-edge AI/ML projects.
- Hybrid working model with a base in Bangalore, offering flexibility in working from the office and remotely.
- Cross-functional collaboration with DevOps, automation, and integration teams.
