AI Specialist – E-Commerce

Confidential Company

Employer Active

Posted on 17 Nov

Experience

5 - 8 Years

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)

  1. Intelligent search with typo correction, semantic matching, synonyms, embeddings
  2. “No-result” elimination using vector search
  3. Category prediction & auto-tagging using NLP

Personalised Recommendation Systems

  1. Frequently bought together
  2. Complementary item suggestions
  3. Real-time recommendations based on behaviour and cart patterns
  4. Predictive cart (“fill my cart” using past orders)

AI-Driven Product Discovery

  1. Dynamic home page banners personalised to user segments
  2. Ranking models to show top products per customer profile
  3. Seasonal trend prediction

Conversational AI Shopping Assistant

  1. Voice + chat–based product search
  2. Order modification, tracking, reordering using LLMs
  3. Agentic AI to handle queries, complaints, replacements, refunds

Computer Vision for E-commerce

  1. Image-to-Cart (upload an image → convert to shoppable list)
  2. Visual similarity search (“show me similar fruits”)

Pricing, Inventory & Demand Forecasting

  1. Stockout prediction
  2. Dynamic pricing signals
  3. Fresh produce demand forecasting

Customer Behaviour Intelligence

  1. Churn prediction & retention scoring
  2. LTV modelling
  3. Personalized marketing segmentation
  4. A/B testing frameworks

MLOps & Production AI

  1. Deploying and scaling models on AWS/Azure
  2. Automated retraining pipelines
  3. Model monitoring, drift de

Desired Candidate Profile

Machine Learning & AI

  1. Recommender systems, deep learning, embeddings
  2. NLP (transformers, LLM fine-tuning, RAG, semantic search)
  3. Computer vision (OCR, image classification, similarity search)
  4. Forecasting, predictive modelling

Generative AI

  1. LLM fine-tuning (LLaMA, Gemini, Mistral, GPT etc.)
  2. Prompt engineering, agentic systems
  3. RAG, vector databases (FAISS, Pinecone, Chroma)

Programming & Frameworks

  1. Python is mandatory
  2. PyTorch, TensorFlow, Scikit-learn
  3. Hugging Face
  4. FastAPI for model serving

Data Engineering & MLOps

  1. SQL, NoSQL, MongoDB, Snowflake
  2. Kafka, Airflow, MLflow
  3. Docker, Kubernetes
  4. AWS / Azure ML stack (SageMaker etc.)

E-Commerce Domain Knowledge (Mandatory)

  1. Search ranking algorithms
  2. Recommendation engines (content-based & collaborative filtering)
  3. User journey mapping
  4. Conversion funnel analytics
  5. Customer segmentation
  6. Real-time personalisation

Preferred Experience

  1. 5–8 years in AI/ML roles, ideally in retail, e-commerce, marketplace, or delivery apps
  2. Hands-on experience deploying AI models at scale
  3. Strong understanding of UX + AI behavioural signals
  4. Ability to translate business problems into ML solutions

Employment Type

    Full Time

Company Industry

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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