AI Engineering Manager, Data and Analytics Advisory

PwC

full-time

Posted on: 9/27/2025

Location Type: Office

Location: Pune • 🇮🇳 India

✨ AI Apply

Mid-LevelSenior

AirflowCloudDockerJenkinsKubernetesPythonPyTorchTensorflow

About the role

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 AI-driven features that improve customer experience and operational efficiency
Build and manage data pipelines that support large-scale training and inference workloads using structured and semi-structured retail data
Develop and optimize deep learning models using TensorFlow or PyTorch for visual product search, customer segmentation, and chatbot automation
Integrate AI models into customer-facing platforms (mobile apps, websites) and backend retail systems (inventory management, logistics)
Monitor model performance post-deployment and implement continuous improvement strategies based on business KPIs and real-time 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 e-commerce industry to help the team stay competitive and innovative
Design and build data infrastructure and systems, including data integration and transformation solutions

Minimum of 4 years of experience in developing machine learning models
At least 3 years of experience deploying AI solutions into production
4 Years to 12 years of total experience range
Proficient in Python
Proficient in TensorFlow or PyTorch
Experience with MLOps tools and cloud platforms
Mandatory: 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
Familiarity with Docker and Kubernetes
Experience in model design, development, deployment and maintenance
Preferred: Experience with Front end applications such as Streamlit
Education: BE, B.Tech, ME, M.Tech, MBA, MCA (60% above)

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningdeep learningPythonTensorFlowPyTorchScikit learnNLPMLOpsAPI developmentsupervised learning