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IOS Developer
Mounds View, MN
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Robotics technology LLC
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Job Title: IOS Developer Work Location: Mounds View, Minnesota (Onsite) Duration: Long term Must Have: 11+ years of relevant experience. Expertise in Objective C, C and JavaScript programming. Experience working with iOS/iPadOS and apple eco system Experience working in client/server model and working across other interfaces Experience resolving multitasking, multithreading issues. Sound debugging skills using Xcode IDE Ability to work in an agile cross functional team en
Sep-20-25
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Software Engineer
Minneapolis, MN
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Alphaqual Technologies
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JOB DESCRIPTION: This role is for an experienced, hands-on Software Engineer to provide engineering expertise and direction to Asset Management business partners. Candidates should bring fresh perspectives, be passionate about solving complex business and technical challenges, and thrive in a collaborative environment. You ll build next-generation cloud-based applications and models to transform how traders, portfolio managers, and analysts support clients. This is a high-impact opportunity
Oct-03-25
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Remote - Fen-X Product Consultant
Stillwater, MN
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Lancesoft Inc
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$65 - $80
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Title: Fen-X Product Consultant Location: Hybrid - Stillwater, MN Rate Range: $65-$80 Top Must Have's:Fen-X (current version) - 1 to 3 yrsFen-E (enterprise) - previous version is okay to have as the candidate will have experience in the platformFunctional Skills: Customer Lifecycle Management, Customer Onboarding, KYC (Know Your Customer), Customer Risk Scoring - 5 to 6 yrsImplementation/ Configuration/ Integration experienceShould have experience LeadingThe ideal candidate should have ext
Oct-10-25
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Data Scientist / AI/ML Engineer
Cologne, MN
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Robotics technology LLC
($) :
60
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Job DescriptionKey Responsibilities: Develop, train, and deploy machine learning and NLP models using Python and relevant libraries (scikit-learn, Databricks Apply LLMs, RAG, vector databases, and embeddings to solve enterprise use cases. Build APIs to serve ML models and integrate them into applications. Apply supervised, unsupervised learning, time-series forecasting, and statistical analysis on large datasets. Collaborate with stakeholders and present analytical findings clearly.
Oct-16-25
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