Neurons Lab
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.
Data Engineer, UA/RU Language Speaking
🔥 4 minutes ago
🗣️🇷🇺 Russian Required
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Neurons Lab
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
• Join Neurons Lab as a Data Engineer (part-time) • Build the plumbing underneath the data context layer: ingestion across various platforms • Implement identity/entity resolution and PII handling • Run PII detection, redaction, and retention logic • Build monitored pipelines rather than scripts with Airflow/Step Functions • Write runbooks for the client's team to operate post-handover
🎯 Requirements
• 4+ years in data engineering, with real unstructured/semi-structured work (not only warehouse modelling) • Strong Python and solid SQL • Unstructured-data pipelines: transcripts, mail, chat, documents — parsing, normalisation, deduplication • Embedding/retrieval infrastructure: chunking strategies, vector stores (pgvector, OpenSearch, Pinecone-class), plus loading a graph store • API and connector integration at scale: Google Workspace / M365, Slack, CRM; rate limits, pagination, incremental cursors, webhooks • Entity resolution / record linkage (deterministic + fuzzy) without a clean shared key • Orchestration: Airflow, Step Functions or equivalent; idempotent, restartable jobs • AWS and/or GCP data stack; comfortable in a private / VPC deployment • PII detection, redaction, encryption and retention in practice • Clear written English; documents for handover and works well async in a small distributed pod.
🏖️ Benefits
• Part-time, 20-hour-a-week engagement.
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