
1001 - 5000 employees
Founded 1999
🤖 Artificial Intelligence
☁️ SaaS
📡 Telecommunications
💰 Private Equity Round on 2020-12
Artificial Intelligence • SaaS • Telecommunications
Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.
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1001 - 5000 employees
Founded 1999
🤖 Artificial Intelligence
☁️ SaaS
📡 Telecommunications
💰 Private Equity Round on 2020-12
Artificial Intelligence • SaaS • Telecommunications
Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.
• Build and own the historical email ingestion pipeline via Microsoft Graph API • Implement SharePoint / OneDrive document ingestion pipeline with scoped folder access • Design and implement the PII minimisation pre-processing layer • Build the vector store indexing workflow (OpenSearch/Pinecone) with per-tenant data isolation • Define and implement the data processing schema; produce and maintain schema documentation • Build the OCR routing orchestrator and integrate OCR service for scanned documents • Implement the raw text / content extraction layer for all supported document types • Define and prototype push vs. pull ingestion strategy, from one-time PoC through to incremental nightly pipeline • Ensure data lineage and audit traceability are built into pipeline outputs from the outset
• 6+ years in data engineering; strong pipeline and ETL/ELT experience required • Proficiency in Python for data pipeline development • Experience with Microsoft Graph API or similar enterprise email/document APIs (M365, Exchange Online) • AWS data services: S3, DynamoDB, Glue, and/or Lambda-based event-driven processing • Familiarity with PII detection and data minimisation techniques (regex-based, NER-based, or purpose-built libraries) • Experience with vector store indexing or semantic search pipeline construction
• Remote work options
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