AI Specialist – E-Commerce
Confidential Company
Employer Active
Posted on 17 Nov
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Experience
5 - 8 Years
Job Location
Education
Bachelor of Technology/Engineering, Master of Science(Computers)
Nationality
Indian, Pakistani
Gender
Any
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
We are looking for an AI Specialist with strong e-commerce, retail, or marketplace experience. This role requires someone who can build AI systems that transform the customer journey— from search → browsing → recommendations → checkout → post-purchase analytics.
If you can blend machine learning, LLMs, recommender systems, and behavioural analytics to power a next-gen e-commerce experience, you are the ideal fit.
AI-Powered Search Engine (E-commerce Search Intelligence)
- Intelligent search with typo correction, semantic matching, synonyms, embeddings
- “No-result” elimination using vector search
- Category prediction & auto-tagging using NLP
Personalised Recommendation Systems
- Frequently bought together
- Complementary item suggestions
- Real-time recommendations based on behaviour and cart patterns
- Predictive cart (“fill my cart” using past orders)
AI-Driven Product Discovery
- Dynamic home page banners personalised to user segments
- Ranking models to show top products per customer profile
- Seasonal trend prediction
Conversational AI Shopping Assistant
- Voice + chat–based product search
- Order modification, tracking, reordering using LLMs
- Agentic AI to handle queries, complaints, replacements, refunds
Computer Vision for E-commerce
- Image-to-Cart (upload an image → convert to shoppable list)
- Visual similarity search (“show me similar fruits”)
Pricing, Inventory & Demand Forecasting
- Stockout prediction
- Dynamic pricing signals
- Fresh produce demand forecasting
Customer Behaviour Intelligence
- Churn prediction & retention scoring
- LTV modelling
- Personalized marketing segmentation
- A/B testing frameworks
MLOps & Production AI
- Deploying and scaling models on AWS/Azure
- Automated retraining pipelines
- Model monitoring, drift de
Desired Candidate Profile
Machine Learning & AI
- Recommender systems, deep learning, embeddings
- NLP (transformers, LLM fine-tuning, RAG, semantic search)
- Computer vision (OCR, image classification, similarity search)
- Forecasting, predictive modelling
Generative AI
- LLM fine-tuning (LLaMA, Gemini, Mistral, GPT etc.)
- Prompt engineering, agentic systems
- RAG, vector databases (FAISS, Pinecone, Chroma)
Programming & Frameworks
- Python is mandatory
- PyTorch, TensorFlow, Scikit-learn
- Hugging Face
- FastAPI for model serving
Data Engineering & MLOps
- SQL, NoSQL, MongoDB, Snowflake
- Kafka, Airflow, MLflow
- Docker, Kubernetes
- AWS / Azure ML stack (SageMaker etc.)
E-Commerce Domain Knowledge (Mandatory)
- Search ranking algorithms
- Recommendation engines (content-based & collaborative filtering)
- User journey mapping
- Conversion funnel analytics
- Customer segmentation
- Real-time personalisation
Preferred Experience
- 5–8 years in AI/ML roles, ideally in retail, e-commerce, marketplace, or delivery apps
- Hands-on experience deploying AI models at scale
- Strong understanding of UX + AI behavioural signals
- Ability to translate business problems into ML solutions
Employment Type
- Full Time
Department / Functional Area
Keywords
- Semantic Search / Vector Search
- Generative AI LLMs / RAG
- Ecommerce Personalization
- Customer Segmentation
- ML Engineer
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Confidential Company
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