Senior Software Engineer – Machine Learning

Job not on LinkedIn

🔥 12 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Maropost

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

💼 Consulting

📣 Marketing

📦 Logistics

💰 Secondary Market on 2022-04

Consulting • Marketing • Logistics

Maropost is a comprehensive commerce platform that offers integrated solutions for marketing, merchandising, and operations. It provides a suite of cloud-based products designed to streamline and enhance customer engagement, including Marketing Cloud for email, SMS, social media, and landing pages, and Service Cloud to unify customer support and ecommerce data. Maropost also offers solutions like Neto for managing multichannel ecommerce stores and Retail Express for cloud-based point-of-sale software. The platform enables businesses to connect their preferred apps and provides industry-specific solutions across multiple sectors such as ecommerce, media, B2B, and travel. Trusted by over 5,000 businesses, Maropost's tools are designed to scale with growing business needs, offering personalized and predictive capabilities for superior customer experience.

📋 Description

• Own the machine learning powering product discovery for merchants • Train, build, deploy, and operate models and their serving services end to end • Design, train, and ship recommendation and ranking models, including session-based embeddings, collaborative filtering, and content and visual embeddings • Build and operate low-latency Python services serving the models • Run batch pipelines that rebuild model artifacts daily across hundreds of merchants • Design and analyze A/B tests and make shipping decisions based on evidence • Own deployments, including containers, Kubernetes manifests, autoscaling, dashboards, and alerts • Extend the shopping assistant and LLM-assisted catalogue enrichment with proper evaluation • Optimize live storefront recommendation re-ranking under a 200 ms budget, measured by merchant conversion

🎯 Requirements

• 5+ years building machine learning systems, with at least 3 years of models serving live production traffic • Strong Python; FastAPI or equivalent • Experience with vector databases, especially Qdrant • Familiarity with ANN libraries including FAISS, Annoy, ScaNN, or HNSWlib • Hands-on recommender systems or search ranking experience, including implicit feedback, embeddings, and approximate nearest neighbour search • Solid SQL against analytical stores; ClickHouse experience is a plus • Comfortable with Docker and Kubernetes, and willing to own deployment of your work • Experience running A/B tests and reporting results • Experience with streaming systems such as Pulsar, Kafka, or Flink • Bonus: PyTorch, sentence-transformers, CLIP, or computer vision applied to product imagery • Bonus: Gradient boosting for ranking with XGBoost, LightGBM, or CatBoost • Bonus: Scikit-learn and SciPy for lightweight classifiers and experiment statistics • Bonus: LLM application work with evaluation harnesses, tool calling, and cost and latency tuning • Bonus: E-commerce, search relevance, or marketplace background • Bonus: Python async experience • Bonus: Experience around search