Industry/Sector

Specialism

Management Level

Job Description & Summary

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 driving the integration of data science and engineering within our Data and Analytics Engineering group. Your work will focus on developing and implementing AI-driven automation and cognitive solutions, enhancing our capabilities in cloud engineering, data, and analytics. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor junior team members, and maintain professional standards. You will be instrumental in building meaningful client relationships and navigating complex situations to deliver quality solutions.

In this role at PwC Acceleration Center India, you will be part of a dynamic team within our Data, Analytics & AI practice, where you will have the opportunity to grow your personal brand and deepen your technical skills. You will be expected to anticipate the needs of your teams and clients, using your critical thinking to break down complex concepts and deliver impactful solutions. This position offers a unique chance to develop a deeper understanding of the business context and how it is evolving, all while contributing to the firm's overall business strategies.

Responsibilities

- Developing and implementing data-driven solutions using advanced machine learning algorithms and artificial intelligence techniques
- Collaborating with cross-functional teams to design and optimize data pipelines and workflows for efficient data processing
- Utilizing programming languages such as C++, R, and MATLAB to enhance data modeling and predictive analytics capabilities
- Conducting complex data analysis to extract actionable insights and support strategic decision-making processes
- Building and maintaining scalable data lakes and data mining systems to support big data initiatives
- Applying deep learning and neural network methodologies to improve data science troubleshooting and workflow efficiency
- Leveraging TensorFlow and Scikit-Learn libraries to advance natural language processing and predictive modeling projects
- Validating data quality and integrity within analytics frameworks to support AI-driven automation and cognitive solutions
- Guiding junior team members in data engineering practices and fostering a culture of intellectual curiosity and learning agility

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

Familiarity with vector databases and LLM deployment patterns

- Experience with Azure OpenAI and model deployment endpoints

- Healthcare domain understanding would be an added advantage

- Building and managing CI/CD pipelines using GitHub Actions

- 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 machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leveraging experience with TensorFlow and Scikit-Learn libraries
- Applying knowledge of natural language processing and neural networks
- Navigating AI-driven automation and cognitive solutions in client settings

Travel Requirements

Job Posting End Date