Qureos Mentor

Staples India

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 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:
 
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 Product matching / entity resolution
 
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 Semantic retrieval and search relevance
 
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 Ranking and recommendation systems
 
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 Develop and optimize multi-stage ranking pipelines (candidate generation &rarr; ranking &rarr; re-ranking)
 
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 Run experimentation frameworks (offline evaluation, A/B testing) to drive continuous improvement
 
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 Apply reinforcement learning / bandits for personalization and ranking optimization
 
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 Build and deploy GenAI and agentic AI systems for search, discovery, and content use cases
 
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 Productionize ML systems using Databricks-based pipelines and deploy services via AKS (Azure Kubernetes Service)
 
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 Design scalable, reliable ML infrastructure with focus on latency, throughput, and cost efficiency
 
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 Monitor model performance and continuously iterate using MLOps/LLMOps best practices
 
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 Independently scope ambiguous problems and drive them from idea &rarr; production
 
 
 
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 Requirements
 
 
 Required Qualifications
 
 5&ndash;8+ years of experience in ML Engineering / Applied AI
 
 
 Strong 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&rsquo;s degree in Computer Science or related field (preferably in NLP or Computer Vision)
 
 
 Experience with:
 
 Multi-stage ranking systems (search/recommendation engines)
 
 Reinforcement learning / bandits
 
 GenAI, LLMs, and agentic frameworks (LangChain, LangGraph, etc.)
 
 Ecommerce or marketplace domains
 
 
 Familiarity with:
 
 Modern data platforms (Snowflake, Data Lakes)
 
 MLOps/LLMOps tools (MLflow or similar)
 
 AI governance (evaluation, explainability, safety)
 
 
 
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Senior AI Engineer

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Staples India

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Senior AI Engineer