CoreTek Labs

AI Data Scientist with Industrial Device

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Scientist with Industrial Device, requiring 8+ years of software engineering experience, expertise in AI agent development, strong Python skills, and familiarity with industrial device protocols like Modbus and BACnet. Contract duration is 12+ months, on-site in Santa Clara, CA.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Clara, CA
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🧠 - Skills detailed
#Python #Data Science #Azure #AI (Artificial Intelligence) #Microsoft Azure
Role description
Software Engineer - AI Agent Development Location: On-site, Santa Clara, CA 12+ Months Contract Required Qualifications • 8 or more years of professional software engineering experience, with a demonstrated record of delivering production systems. • Deep expertise in software design and architecture. This role involves substantial use of AI-assisted development tooling, and success depends on the ability to produce precise, unambiguous specifications that can be implemented reliably and verified against clear acceptance criteria. • Hands-on experience building AI agents or agentic workflows in production environments, including tool use, state management, and reliable execution under real-world conditions. • Practical experience with Microsoft Azure AI Foundry or a directly comparable enterpriseAI platform for building and deploying agent-based services. • Strong Python development skills. Agent services will be built primarily in Python and must be well-structured for extensibility and long-term maintainability. • Demonstrated experience working with industrial device protocols, specifically Modbus, BACnet, and OPC-UA. The contractor must be able to build agent integrations that communicate with physical devices accurately and reliably. • Experience working with digital twin concepts or asset registry systems, including the challenges of keeping a software representation of a physical environment consistent overtime.