Forward-Deployed Architect, Credit Analytics – ML Platforms

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🏛️ Architect

👻 Ghost score 12%

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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Neurons Lab

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏥 Healthcare

⚡ Energy

💰 Corporate Round on 2022-10

Artificial Intelligence • Healthcare • Energy

Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries.

📋 Description

• Translate business problems into architecture, delivery plans and acceptance criteria • Design the path from working models and dashboards to a production-ready ML platform • Build reproducible workflows for data preparation, feature engineering, training, validation, scoring and deployment • Establish versioning for code, data, models and calibration logic • Collaborate on probability of default, prepayment, lifetime risk and loss estimates • Strengthen data foundations through traceability, data-quality investigation, documentation and automated checks • Improve reliability of the Snowflake-backed analytics application, including deployment, testing, permissions and model-output integration • Implement MLOps practices including releases, monitoring, failure handling, rollback and operational documentation • Design for privacy, access control, auditability and model governance • Lead technical discussions, review code, unblock engineers and keep the client informed • Assess opportunities for natural-language or LLM-assisted analytics

🎯 Requirements

• Track record of designing and delivering production data or ML systems, with ownership beyond prototypes and architecture diagrams • Strong hands-on Python and SQL • Practical MLOps experience, including reproducible pipelines, model and data versioning, testing, deployment and monitoring • Experience with cloud data platforms and modern warehouses; Snowflake experience particularly relevant • Understanding of model evaluation, calibration, data leakage, changing populations, model quality and system reliability • Ability to work through incomplete documentation and inconsistent business definitions • Strong client-facing communication in English • Experience leading a small technical team while remaining actively involved in implementation • Useful additional experience: credit-risk, lending or servicing analytics; regulated financial-services delivery and model governance; Streamlit, Azure ML, semantic data layers or Snowflake analytics applications; configurable ML products; natural-language analytics, text-to-SQL or LLM-assisted workflows