Senior Software Engineer (Machine Learning)
Maropost (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 20–35 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end machine learning systems powering product discovery and search ranking for merchants, including personalized recommendations and an LLM shopping assistant.
- Design, train, and deploy recommendation and ranking models and build low latency Python services serving live traffic under strict performance budgets (~200ms).
- Operate full production lifecycle including batch pipelines, AB testing, containerized deployments on Kubernetes, and performance monitoring and scaling.
Minimum Requirements
- 5+ years building machine learning systems with at least 3 years serving models in live production.
- Strong Python skills including FastAPI or equivalent framework.
- Experience with vector databases (like Qdrant) and approximate nearest neighbor libraries such as FAISS, Annoy, ScaNN, or HNSWlib.
- Comfortable with containerization (Docker) and Kubernetes deployment; experience running AB tests and strong SQL skills (ClickHouse is a plus).
Ideal Candidate Profile
- Hands-on experience with recommender systems or search ranking using implicit feedback, embeddings, and ANN search technologies.
- Expertise in operating production machine learning systems independently including building, deployment, testing, and scaling in a small agile team environment.
- Experience with LLM applications, e-commerce or marketplace search relevance, and streaming systems like Pulsar or Kafka is advantageous.