INManager AI EngineerData and AnalyticsAdvisoryPune
INManager AI EngineerData and AnalyticsAdvisoryPune
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & 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 decision-making 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.
Responsibilities:
- Design develop and deploy AI and machine learning solutions tailored to retail challengessuch 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 applications like visual product search customer segmentation and chatbot automation. - Integrate AI models into customer-facing platforms (e.g. mobile apps websites) and backend retail systems (e.g. 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.
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 ME MTech MBA MCA (60% above)
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Master of Business Administration Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Python (Programming Language) PyTorch TensorflowOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback 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 32 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
