Staff Machine Learning Engineer
Bloomreach (company site, opens in a new tab)8+ yrsOn-siteDirect career pageEst. 35–60 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead technical roadmap and architecture for ML/AI-driven search relevance solutions.
- Design, develop, and productionize ML models and algorithms to improve search quality using diverse data (queries, product catalogs, user behavior).
- Evaluate and experiment with models; mentor engineers and influence cross-team alignment on engineering and product goals.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science or related field with strong math and programming skills (Python plus Java or Go).
- Minimum 8 years of experience building ML-driven systems and scalable distributed systems in cloud environments (AWS/GCP/Azure).
- Strong domain expertise in Search, Information Retrieval, Ranking, Search Relevance, and NLP techniques with production experience in large-scale data and ML systems.
- Experience applying large language models (LLMs) to search/ML problems including evaluation of quality, latency, and cost trade-offs.
Ideal Candidate Profile
- Advanced ML engineering professional with deep technical ownership and leadership in search and relevance ML solutions.
- Strongly experienced in both software engineering and machine learning, able to work end-to-end from research to production at scale.
- Experience handling multi-domain, multi-language search systems, and building complex search architectures (e.g., hybrid search, RAG, vector search).