Hi everyone,
We’re running an enterprise AI/data automation program and evaluating/using KNIME as a cross-program capability for workflow orchestration, data preparation, automation, and governed data/KB processes.
We’re looking for an experienced KNIME freelancer to support implementation and best-practice setup.
Location / logistics
The engagement is fully remote.
Engagement
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Duration: a few months (initially 2–4 months), with possible extension
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Start: 3–6 weeks
What we need help with
Workflow design & implementation
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Designing KNIME workflows for ingestion, validation, transformation, and scheduling
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Handling structured + semi-structured inputs (files/exports/APIs)
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Translating existing Python-based logic/code into KNIME pipelines
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Robust error handling, retries, logging, monitoring patterns
Data governance
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Standardized ingestion contracts (package structure, metadata, naming)
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Automated validation gates (schema checks, required fields, completeness)
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Versioning / promotion flow (dev → stage → prod) and reproducible runs
Knowledge / KB operations (for GenAI/RAG readiness)
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Content ingestion from common enterprise formats (PDF/HTML/wiki exports)
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Normalization steps (chunking/metadata tagging)
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Incremental updates (delta detection + re-process only changes)
Integrations
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REST APIs / webhooks where needed
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Databases / storage (Azure-oriented environments likely)
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Optional: pushing artifacts to downstream services (indexes, dashboards, apps)
Applications / UI
- Building lightweight web apps on top of KNIME workflows (e.g., for internal users, ops tools, or simple interfaces)
Operationalization
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KNIME Server experience (deployment, scheduling, permissions)
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Best practices for separating environments, audits, and evidence packs
What to send
Please reply or DM with:
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Relevant KNIME projects (brief description + role)
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Experience translating Python workflows into KNIME (if applicable)
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KNIME Server experience (if any)
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Your availability (days/week)
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Your location
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Rate (hour/day) + time zone