AI / Machine Learning Engineer – Quick Commerce App

AI / Machine Learning Engineer – Quick Commerce App

Hiring Company: Confidential (Quick-Commerce / Fashion Tech Platform)
Recruitment Partner: Norvex Solutions
Location: Indonesia (Jakarta / Hybrid – as applicable)
Experience: 3–6 years (flexible based on capability)
Employment Type: Full-time

Apply at: [email protected]

Role Overview

Our client, a fast-growing quick-commerce fashion tech company, is building AI-powered features for its mobile application to deliver personalized, real-time shopping experiences.

They are seeking an AI / Machine Learning Engineer to design, build, and scale intelligent features such as virtual wardrobe, outfit recommendations, personalization engines, and computer vision–based fashion recognition. This role is critical to delivering speed, accuracy, and personalization, which are core to quick commerce.

The role involves close collaboration with product, mobile, backend, and design teams in a high-ownership, product-driven environment.

Key Responsibilities

AI & Machine Learning Development

• Design and implement computer vision models for clothing detection, classification, and attribute extraction (color, fabric, style, season)

• Build recommendation systems using user behavior, purchase history, weather, occasion, and trend data

• Develop personalization algorithms tailored to individual user preferences and style

• Train, evaluate, and optimize models for low latency and high accuracy, especially for mobile use cases

Virtual Wardrobe & Styling Features

• Enable users to upload images or sync purchases to create a digital wardrobe

• Implement AI-driven tagging and wardrobe organization

• Recommend outfits using:

  • Existing wardrobe items

  • Available quick-commerce inventory

• Support mix-and-match, styling suggestions, and “buy-to-complete-the-look” experiences

Integration & Performance

• Integrate AI models with iOS/Android apps and backend systems

• Optimize models for real-time inference and edge/cloud deployment

• Work with backend teams to connect AI recommendations to live catalogs and inventory

• Ensure solutions scale to support high concurrent traffic

Data, Experimentation & Optimization

• Work with large-scale image and behavioral datasets

• Run A/B testing to continuously improve recommendation quality

• Monitor model performance, bias, and drift in production

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python

• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, ONNX

• Solid experience in Computer Vision (CNNs, object detection, embeddings)

• Proven experience building recommendation systems (collaborative, content-based, hybrid)

• Familiarity with mobile ML deployment (TensorFlow Lite, Core ML)

• Experience with REST APIs, cloud platforms (AWS / GCP / Azure), and MLOps pipelines

• Understanding of databases and data pipelines

Domain & Industry Exposure

• Understanding of fashion/apparel attributes and styling concepts (preferred)

• Experience with e-commerce or quick-commerce platforms is a strong advantage

Nice-to-Have

• Exposure to Generative AI for outfit visualization or styling

• Knowledge of LLMs for conversational fashion assistants

• Experience with high-scale consumer apps or real-time systems

• Familiarity with AR / virtual try-on technologies

What the Client Offers

• Opportunity to build cutting-edge AI features for a fast-scaling quick-commerce platform

• End-to-end ownership of AI solutions impacting real users

• Competitive compensation and long-term growth opportunity

• Collaborative, fast-paced, product-first environment