Tender Details

Country: Netherlands
Summary: 19626248 Ai En Ml Specialist
NLT Ref No: 59947962
Deadline: 24 Nov 2021
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 189591
Purchaser's Detail:
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Description:
Description: DCC is looking for an experienced Artificial Intelligence (AI) & Machine Learning (ML) specialist to participate in the soft cyber revolution, using Deep Learning, Neuro-Linguistic Programming (NLP) , Computer vision and chatbots to help us achieve / improve different organizational results and to stimulate innovation. You are part of a multidisciplinary team that works on cutting edge solutions in the field of cyber network analyzes and innovations where ai plays a crucial role through creative solutions in an early R & D stage. This is an excellent opportunity to take advantage of emerging soft cyber trends and technologies and to make a real difference. You have extensive experience in building ai algorithms. In addition, you are able to translate the wishes of the client into concrete input / requirements for the algorithm. By analyzing and evaluating the generated output, you can draw conclusions about the operation of the algorithm and formulate concrete points for improvement (Feedback Loop).
Deadline: 24 Nov 2021 14:00
Documents:

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19626248 Ai En Ml Specialist - Netherlands Tender

The DEPARTMENT OF DEFENSE, a Government sector organization in Netherlands, has announced a new tender for 19626248 Ai En Ml Specialist. This tender is published on NetherlandsTenders under NLT Ref No: 59947962 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2021-11-24.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.