Amazon Web Services (AWS)Strategic Vendor Alliance – AWS Practice Lead and Overall P&L owner for India Business and Drive Profitability.
A) Managing the AWS Practice for Clients and executing the strategic business plan for the company and channel partners ecosystem with regards to different Services of AWS.
B) Built key relationships with various segment leaders in AWS from the Commercial and Public Sector and create Client led AWS Solutions for Partners to make simplifying cloud approach for customers.
C) Building a predictable pipeline of joint opportunities via differentiated proposition to the customers and Partners by working with AWS on a unique offerings specifically to Client.
D) Drive SMB focus approach for AWS which contributes 50%of Clients overall Business using ready to use cloud bundles for various workloads
E) Own the relationship map, drive and monitor cadence meetings, both with Internal Sellers and Channel Partners measured by different parameters on Incremental growth ,customer acquisition, partners onboarding, Manage Services led approach ,migration and deployment ,success of each GTM
F) Lead a Team of Product Mangers (who will drive specific GTM like SAP on AWS , SMB Scale Drive, Education focus,Cloud Front Drive- CDN bundle , Strategic Workloads like Microsoft Workload,DC Migration ,DR on Cloud)
G) Managing Partner Profitability metrics by creating various different avenues from recurring resale consumption and services led engagement for partners.
H) Worked on Long Term direction of the company business plan to drive Incremental Growth.
I)Collaborate with internal peers within the company to build cloud business model,how to attach manage services to various services of the Hyperscaler in building the framework.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Machine Learning (ML)Senior Machine Learning Engineer
📍 Location: Remote
💼 Type: Full-Time
💰 Salary: $800 - $1,000 USD / month
Apply at: https://forms.gle/Fwti67UeTEkx2Kkn6
About Us
At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.
Position Overview
We’re hiring a Senior Machine Learning Engineer with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment.
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Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies.
📌 Model Strategy, Development, and Optimization
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📌 Evaluation Framework and Continuous Testing
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ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript
Audio Libraries: Librosa, Torchaudio, FFmpeg
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Prior work on audio deepfake detection or telephony speech processing
Experience with real-time ML model deployment
Understanding of adversarial robustness and domain adaptation
Familiarity with call center environments or telecom-grade constraints
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Solve a global security crisis with cutting-edge AI.
Own a deliverable that will ship into production at scale.
Join a fast-growing team with seasoned founders and engineers.
Fully remote, high-autonomy environment focused on deep work.
🚀 Apply now and help shape the future of voice security
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Bachelor’s degree
Knowledge of computer operating systems and MS Office software.
Ability to work as part of a team.
Excellent written and verbal communication skills.
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Full Stack Developer - Averlon