ML and Search Engineer, RAG and Re-ranking Jobs

ML and Search Engineer, RAG and Re-ranking

ACI Infotech

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The ML and Search Engineer, RAG and Re-ranking will focus on designing and optimizing retrieval-augmented generation (RAG) pipelines, hybrid search strategies, and re-ranking models. This role requires expertise in information retrieval, vector databases, and ML frameworks to drive measurable improvements in ranking metrics, latency, and overall search quality. The engineer will collaborate with product and data teams to land production-grade improvements supported by rigorous offline and online experiments.

Job Responsibility:

Design and optimize RAG pipelines including chunking, embeddings, and retrieval
Build and deploy re-ranking models and hybrid search strategies
Create evaluation datasets and metrics for offline and online testing
Collaborate with product and data teams to drive measurable quality improvements in production
Ensure higher NDCG and MRR with defined quality and latency SLOs
Develop robust evaluation harnesses and experiment frameworks

Requirements:

Degree in Computer Science, ML, IR, or related discipline
Strong background in information retrieval and machine learning (embeddings, search ranking)
Hands-on experience with vector databases (pgvector, Pinecone, Qdrant)
Skilled in Python ML stack including PyTorch and Hugging Face
Practical experience tuning retrieval pipelines for quality and latency
Experience shipping search or RAG features to production
Clear understanding of retrieval metrics (NDCG, MRR) and experiment design

Nice to have:

Experience building re-rankers, hybrid search systems, or evaluation datasets
Familiarity with prompt engineering and feedback loops
Knowledge of observability-driven model adaptation
Experience in multi-lingual retrieval or domain adaptation

Additional Information:

Job Posted:
December 05, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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