AI ML Developer Associate - Operate

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.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firms code of conduct and independence requirements.
  
  

Job Title: AI/ML 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.

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