Senior Machine Learning Engineer
Bloomreach (company site, opens in a new tab)5+ yrsOn-siteDirect career pageEst. 30–50 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and operate machine learning components in the live search serving path with strict latency and cost constraints.
- Design and scale ML and large language model data pipelines for diverse product catalogs across multiple merchants, languages, and verticals.
- Collaborate with Search Quality engineers to deploy, evaluate, and monitor ML models in production, including A/B testing, fallbacks, and observability improvements.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science or related field with strong mathematics and Python proficiency.
- 5+ years experience building ML-driven, scalable systems in production environments.
- Experience with backend programming languages such as Go or Java, and deploying ML models/LLMs in cloud platforms (AWS/GCP) under latency and cost budgets.
- Working knowledge of search technologies (query understanding, ranking, autosuggest), and deep learning frameworks like PyTorch or TensorFlow.
Ideal Candidate Profile
- Senior-level engineer combining strong ML expertise with robust software engineering skills focused on scalable, low-latency production systems.
- Experienced in handling ML pipelines and models across multiple domains, customers, languages, and verticals, with an emphasis on search relevance and ranking.
- Comfortable with end-to-end ownership including model deployment, offline evaluation, observability tooling, and iterative tuning in complex cloud environments.