Lead AI/ML Engineer

4 weeks ago

Bangalore, India Codersbrain technology pvt ltd Full time

About us : Coders Brain is a global leader in its services, digital and business solutions that partners with its clients to simplify, strengthen and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise and a global network of innovation and delivery centers. We achieved our success because of how successfully we integrate with our clients.


Quick Implementation - We offer quick implementation for the new onboarding client.


Experienced Team - Weve built an elite and diverse team that brings its unique blend of talent, expertise, and experience to make you more successful, ensuring our services are uniquely customized to your specific needs.


One Stop Solution - Coders Brain provides end-to-end solutions for the businesses at an affordable price with uninterrupted and effortless services.


Ease of Use - All of our products are user friendly and scalable across multiple platforms. Our dedicated team at Coders Brain implements keeping the interest of enterprise and users in mind.


Secure - We understand and treat your security with utmost importance. Hence we blend security and scalability in our implementation considering long term impact on business benefit.


Primary :


- Strong in Python


- Expertise with at least one of the following machine learning frameworks :- OpenVINO / Tensorflow / Pytorch / ONNX


Secondary :


- Experience using Intel Neural Compressor for model optimization.


- Basic knowledge of networking protocols (L2, L3/4 fundamentals, ).


- Understanding of TLS/HTTPS protocols an advantage


Requirements Educational/ Experience :


- 10+ Years in the R&D


- Experience in the field of AI, ML, DL, and Transformers.


- Preferred PhD in Natural Language/AI/ML.


- Must be Proficient in English


- Minimum: MS or BS degree and 10+ years of experience.


It is expected the that the suppler will provide dedicated resource with domain knowledge capable of performing the requesting engineering activities.


- We have a program that requires working with Tech Leads.


- Understand the problem statement/identify Design/Review Design


- Implement on the agreed design


Expectation :


a. Design Test/Validation Document


c. Proof of agreed KPIs


d. Performance tuning & benchmarking


e. Technical reports


- The exact deliverables will be agreed for each sprint and every 2 sprints. Creation on ML toolkit for Network Security workloads.


- Multiple phase project to create a ML Ops pipeline focused on the training, optimization and benchmarking of Network Security Deep Learning models.


- Phase 1 of project will focus on creating a python framework which taking a pre-trained network security models and supports:


- Conversation of models to target multiple machine learning frameworks (TensorFlow, PyTorch, ONNX, OpenVINO etc.)


- Test/Training tokenization as required for optimization/evaluation, supporting dedicated tokenization tools such as


- TADK as required.


- Model optimization/quantization using available tools (OpenVINO NNCF)


- Validation/evaluation of those optimized models,


- Publication of performance results to data base


- Create of analysis of performance characteristics using data analytics tools.


Skills : ml,network security,optimization,data

(ref:hirist.tech)

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