Lead AIMLbmv - Sany, India - Coders Brain Technology Pvt. Ltd.

Description

Dear CandidateAbout us Coders Brain is a global leader in itsservices digital and business solutions that partners with itsclients to simplify strengthen and transform their businesses. Weensure the highest levels of certainty and satisfaction through adeepset commitment to our clients comprehensive industry expertiseand a global network of innovation and delivery centers. Weachieved our success because of how successfully we integrate withour clients.

• QuickImplementation We offer quickimplementation for the new onboarding client.
• ExperiencedTeam We ve built an elite and diverseteam that brings its unique blend of talent expertise andexperience to make you more successful ensuring our services areuniquely customized to your specific needs.
• One StopSolution Coders Brain provides endtoendsolutions for the businesses at an affordable price withuninterrupted and effortless services.
• Ease ofUse All of our products are userfriendly and scalable across multiple platforms. Our dedicated teamat Coders Brain implements keeping the interest of enterprise andusers in mind.
• SecureWe understand and treat your security with utmost importance. Hencewe blend security and scalability in our implementation consideringlong term impact on business benefit.

Primary:

• Strongin Python
• Expertise with at least one of thefollowing machine learning frameworks : OpenVINO / Tensorflow /Pytorch /ONNX

Secondary:

• Experience usingIntel Neural Compressor for modeloptimization.
• Basic knowledge of networkingprotocols (L2 L3/4 fundamentals).
• Understanding of TLS/HTTPS protocols anadvantage

Requirements Educational/Experience:
10Years in the R&D Experience in the field of AI ML DL andTransformers. Preferred PhD in Natural Language/AI/ML. Must beProficient in English Minimum: MS or BS degree and 10 years ofexperience.It is expected the that thesuppler will provide dedicated resource with domain knowledgecapable of performing the requesting engineering activities. Wehave a program that requires working with TechLeads.

• understand the problemstatement/identify Design/ReviewDesign
• implement on the agreeddesign
• Expectation
• DesignSpecification/Document
• Test/ValidationDocument
• Proof of agreedKPIs
• Performance tuning &benchmarking

TechnicalreportsThe exact deliverableswill be agreed for each sprint and every 2 sprints. Creation on MLtoolkit for Network Security workloads.Multiple phase project to create a ML Opspipeline focused on the training optimization and benchmarking ofNetwork Security Deep Learning models.Phase1 of project will focus on creating a python framework which takinga pretrained network security models andsupports: 1.Conversation of models to target multiple machine learningframeworks (TensorFlow PyTorch ONNX OpenVINOetc.)2. Test/Training tokenization asrequired for optimization/evaluation supporting dedicatedtokenization tools such as TADK asrequired.3. Model optimization/quantizationusing available tools (OpenVINO NNCF)4.Validation/evaluation of those optimizedmodels5. Publication of performance resultsto data base6. Create of analysis ofperformance characteristics using data analyticstools.

ml,networksecurity,optimization,data