Machine Learning Engineer

Overview

• We are building Q an advanced next-generation platform where the entire experience is driven by adaptive, learning-based intelligence rather than fixed or static rules
• This role is not about tuning existing models.
• It is about designing and building the central intelligence of the product from zero:
• A recommendation engine that competes with Amazon level systems
• A search engine that understands intent, not keywords
• A fully adaptive personalized experience
• A behavioral intelligence layer that drives real business impact
• If you want a role where your work becomes the backbone of the product, this is it.

What You Will Build and Own

1) Advanced Recommendation Systems

• You will design systems such as:
• Behavioral recommenders
• Collaborative filtering (user item, item item)
• Graph-based recommenders
• Session-based and sequence models
• Embedding driven ranking models

2) Intelligent Search

• You will build search that truly understands users:
• Learning-to-rank models
• Semantic retrieval
• Query understanding & rewriting
• Spelling/intent correction
• Vector search and embedding pipelines

3) Full Personalization Engine

• You will own:
• User segmentation & clustering
• Personalized homepages
• Dynamic product surfacing
• Behavior-driven recommendations and offers

4) Experimentation Framework

• You will:
• Define A/B test structures
• Establish metrics that matter
• Analyze experiments accurately
• Drive product decisions based on evidence

5) Data Foundation for ML

• You will design:
• Event tracking frameworks
• Feature stores
• Batch + streaming data pipelines
• Tight integration with backend microservices

6) Production ML Deployment

• You will ship:
• Reliable, scalable ML services
• Low-latency inference pipelines
• Monitored, versioned, continuously improving models

Who You Are (The Exact Profile)

Required Technical Skills

• Strong Python engineering skills
• Strong ML fundamentals
• Hands-on experience in recommender systems or search
• TensorFlow or PyTorch
• Experience with embeddings and vector search (FAISS, Weaviate, Pinecone, etc.)
• Strong SQL and data manipulation
• Experience building data pipelines
• Experience shipping ML to production environments
• Candidates with 3–10 years of experience are welcome if they meet the required skill level.

What You’ll Get at Q

• Full ownership no layers of bureaucracy
• Ability to build foundational systems from scratch
• A product where ML is central, not a side feature
• A fast decision-making environment
• Clear impact on thousands of users (and soon millions)