Role Overview:

We are hiring a Senior AI Engineer / Applied Scientist to build and scale ML systems powering ecommerce search, retrieval, and personalization. This is an 80% ML Engineering role focused on production systems, rapid experimentation, and measurable business impact.

You will own end-to-end AI solutions across matching, retrieval, ranking, and GenAI-powered experiences, from prototyping to deployment at scale.

Core Responsibilities

Design, build, and improve ML models for:
- Product matching / entity resolution
- Semantic retrieval and search relevance
- Ranking and recommendation systems
- Develop and optimize multi-stage ranking pipelines (candidate generation → ranking → re-ranking)
- Run experimentation frameworks (offline evaluation, A/B testing) to drive continuous improvement
- Apply reinforcement learning / bandits for personalization and ranking optimization
- Build and deploy GenAI and agentic AI systems for search, discovery, and content use cases
- Productionize ML systems using Databricks-based pipelines and deploy services via AKS (Azure Kubernetes Service)




- Design scalable, reliable ML infrastructure with focus on latency, throughput, and cost efficiency
- Monitor model performance and continuously iterate using MLOps/LLMOps best practices
- Independently scope ambiguous problems and drive them from idea → production

Requirements

Required Qualifications

5–8+ years of experience in ML Engineering / Applied AI

Solid experience with:

Search, retrieval, and ranking systems

NLP / embeddings / deep learning models

Experimentation and evaluation methodologies

Proven track record of building production-grade ML systems

Strong proficiency in Python

Hands-on experience with Databricks and Kubernetes-based deployment (AKS preferred)

Ability to learn quickly and operate independently in a fast-evolving AI landscape

Preferred Qualifications

Master’s degree in Computer Science or related field (preferably in NLP or Computer Vision)

E

📌 Senior AI Engineer (Chennai)
🏢 Staples India
📍 Chennai