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PwC Service Delivery Center
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IN_Senior Associate_ AI Engineer_Data and Analytics_Advisory_Hyderabad

IN_Senior Associate_ AI Engineer_Data and Analytics_Advisory_Hyderabad

PwC Service Delivery Center

4 - 9 years

15 - 20 Lacs

Hyderabad

Posted:2 weeks ago| Platform:

Apply

Skills Required

Automation Front end Data modeling Machine learning Database administration Agile DBMS Apache Python Logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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 decisionmaking and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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 purposeled and valuesdriven 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 .

& Summary

We are seeking an experienced AI Engineerwith a minimum of 4 years of experience in developing machine learning models and at least 3 years of experience deploying AI solutions into production. The ideal candidate will be proficient in Python, TensorFlow or PyTorch, and experienced with MLOps tools and cloud platforms. As an AI Engineer in the retail home improvement space, youll help build intelligent systems that enhance the customer experience, optimize inventory, and drive smarter business decisions.

Design, develop, and deploy AI and machine learning solutions tailored to retail challenges such as personalized product recommendations, dynamic pricing, and demand forecasting. Collaborate with data scientists, product managers, engineers, and retail analysts to develop AIdriven features that improve customer experience and operational efficiency. Build and manage data pipelines that support largescale training and inference workloads using structured and semistructured retail data. Develop and optimize deep learning models using TensorFlow or PyTorch for applications like visual product search, customer segmentation, and chatbot automation. Integrate AI models into customerfacing platforms (e.g., mobile apps, websites) and backend retail systems (e.g., inventory management, logistics). Monitor model performance postdeployment and implement continuous improvement strategies based on business KPIs and realtime data. Contribute to model governance, testing, and documentation to ensure models are fair, explainable, and secure. Stay informed about AI trends in the retail and ecommerce industry to help the team stay competitive and innovative.

Mandatory skill sets

Must have knowledge, skills and experiences AI Engineer Tensorflow, Python, Pytorch, Scikit learn, NLP, Deep learning, Supervised learning, MLOPs, CICD, API development with FastAPI, ML System Integrations, Understanding of Jenkins, GitHub Actions and Airflow. Docker and Kubernetes, Model design, development, deployment and maintenance

Preferred skill sets

Good to have knowledge, skills and experiences Experience with Front end applications such as Streamlit

Years of experience required

4 Years to 12 years

Education qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education

Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study preferred

Required Skills

Python (Programming Language), PyTorch, Tensorflow

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Travel Requirements

Available for Work Visa Sponsorship

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