The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further.

With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day. As a DevOps/LLMOps Engineer - Senior Associate, you will play a pivotal role in advancing our AI-Driven Automation & Cognitive Solutions within our Data and Analytics Engineering group. You will be at the forefront of integrating cutting-edge technologies to optimize data science processes and enhance client support.

As a Senior Associate, you will leverage your skills to analyze complex problems, mentor junior team members, and maintain professional standards. You will focus on building meaningful client connections and developing a deeper understanding of the business context, navigating complex situations to grow your personal brand and technical skills. In this role at PwC Acceleration Center India, you will collaborate within our Cloud Engineering, Data & Analytics network to deliver impactful solutions.

You will be responsible for anticipating the needs of your teams and clients, using your critical thinking to break down complex concepts and deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. This position offers a unique chance to contribute to cutting-edge projects and develop your career within our Data, Analytics & AI competency network.

Responsibilities Developing and implementing data science workflows and algorithms to enhance AI-driven automation solutions





Utilizing machine learning and deep learning techniques to optimize data analysis and predictive modeling

Building and maintaining data pipelines and data lakes to support complex data analysis and decision-making processes

Collaborating with cross-functional teams to integrate artificial intelligence and data engineering solutions into client projects

Applying programming languages such as C++, R, and MATLAB to develop scalable data science applications

Leveraging TensorFlow and Scikit-Learn libraries to improve machine learning model performance and accuracy

Conducting statistical analysis and data mining to extract actionable insights from large datasets

Confirming data quality and integrity throughout the data science lifecycle

Engaging in continuous learning and embracing change to stay current with emerging data science trends and technologies What You Must Have At least a Bachelor's degree

At least 4 years of experience

Oral and written proficiency in English required What Sets You Apart Experience operationalizing ML or LLM systems in production

Proficiency in Python and/or Bash programming

Building and managing CI/CD pipelines using GitHub Actions

Experience with Azure OpenAI and model deployment endpoints

Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering

Demonstrating proficiency in data science algorithms and workflows

Utilizing programming languages such as C++, R, and MATLAB

Applying machine learning techniques for predictive modeling

Leveraging TensorFlow and Scikit-Learn for deep learning projects

Excelling in complex data analysis and data-driven decision making

Navigating AI-driven automation and cognitive solutions in client support

📌 DevOps/LLMOps -Engineer - Senior Associate (Andhra Pradesh)
🏢 PwC Acceleration Center India
📍 Andhra Pradesh