Senior Associate AI Engineer - Data and Analytics - Advisory

Responsibilities:

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