Cyber Security at CloudSEK · Bengaluru (Bangalore) · 1 - 4 years · ₹8L - ₹10L / yr · Raised funding · Posted 30 Dec 2019
1. Monitor the quality of results of the automated system in the detection of attacks,
intrusions, and unusual, unauthorized or illegal activities.
2. Build and maintain scripts that collect cyber threats data from external sources as well as
from the in-house analytics engine, data quality inspection, and dataset creation for ML
with manual annotation.
3. Assist Data Scientists & Machine Learning Engineers in developing systems that
automate risk assessment/mitigation workflows.
4. Keep up to date with the latest security and technology developments.
5. Research and evaluate emerging cybersecurity threats and ways to manage them.
Required skills
1. Attention to details and a quality first mindset.
2. Knowledge of current hacking techniques, vulnerabilities, and security analysis
techniques.
3. Basic programming experience, and the ability to automate tasks.
4. Manual code review or source code analysis experience.
Note: We are a startup, you will have much more responsibilities.
Benefits
1. A competitive salary.
2. Health Insurance.
3. An awesome team that will challenge and respect you.
4. Lunch, Unlimited snacks and drinks.
5. Top notch office in the heart of Bangalore City.

About CloudSEK
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The Regional Sales Manager will be responsible for driving direct order generation across Government and Public Sector accounts. The role requires a strong hunter mindset, focused on building relationships, identifying opportunities, and closing deals through direct engagement with key decision-makers.
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● Bachelor’s / Master’s degree in Business Administration, Sales.
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Senior Brand Manager – Marketing
Location: Gurgaon, 6 days a week
Experience: 3-8 years in D2C
Reports to: Founder
We are hiring a Senior Brand Manager – Marketing to lead brand storytelling and build campaigns that move the needle emotionally and commercially. If you are someone who can take a problem, turn it into a brand insight, and translate that into a scroll-stopping campaign, this role is for you.
Key Responsibilities:
Brand & Content Strategy
· Own and evolve brand voice, positioning, and narrative
· Build quarterly brand calendars aligned with product, content, and performance goals
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· Identify and act on key cultural and consumer moments to stay relevant
Social & Digital
· Lead all social handles (IG, YouTube, LinkedIn, etc.) with a strategy-first approach
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Campaigns & Community
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Team Management & Collaboration
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Who We are Looking For:
· 3-4 years of experience in brand marketing (preferably D2C)
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MAIL UPDATED RESUME WITH CURRENT SALARY-
EMAIL: etalnthire[at]gmail[dot]com
Satish: 88O 27 49 743
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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📌 Design and Deliver Core Detection Pipeline
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
Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment.
📌 Latency-Conscious Production Readiness
Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments.
📌 Evaluation Framework and Continuous Testing
Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions.
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ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript
Audio Libraries: Librosa, Torchaudio, FFmpeg
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Optimization: Quantization, pruning, GPU acceleration
DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC
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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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Competitive pay based on experience and capability. ($800 - $1,000 USD / month)
Full-time with potential for conversion to a core team role.
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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.
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🚀 Apply now and help shape the future of voice security
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