Automation Tester

Review Criteria:

Mandatory:

• Strong B2C Brand Marketing Profile
• Must have 3+ years of experience as a marketer preferably across tech, mobility, energy, fintech, or high-growth apps
• Must have experience executing end-to-end brand and consumer campaigns across Instagram, WhatsApp, content platforms, ATL/BTL, and on-ground activations.
• Must have strong experience in digital storytelling, including social content, creator/influencer collaborations, product videos, and explainer assets
• Strong ability to turn business targets into creative strategies that drive measurable outcomes
• Must have at least 1 year of experience managing a team of marketers
• B2C Product companies
• Candidates must be comfortable working on the 1st and 3rd Saturday of every month.

Preferred:

• Experience in EV, mobility, consumer apps, ecosystem brands, or categories that require behaviour change.

Role & Responsibilities:

You will lead the company's B2C marketing engine end-to-end: brand, content, category education, community, and on-ground activation. You will work closely with sales, product, and creative teams to drive measurable business outcomes.

• This is a role for someone who wants to build from scratch, shape a category, and influence
• the experience of millions of EV users in India.

Key Responsibilities:

• Brand Leadership & Strategy: Build and scale a company's B2C brand with a narrative that cuts across 2W, 3W, 4W riders, drivers, homeowners, and urban professionals.
• Conceptualise and execute end-to-end brand and consumer campaigns across Instagram, WhatsApp, ATL, BTL, and on-ground activations.
• Lead consumer understanding exercises to shape new identify whitespace consumer segments and behavioural triggers that can unlock adoption and usage.
• Oversee the creation of high-quality social content, creator collaborations, product videos, and explainer assets. Manage agency partners, production partners, and internal creative resources.
• Manage, mentor, and scale the organic marketing team including social media and content creators.

Ideal Candidate:

• 3–5 years of experience in consumer marketing, ideally across tech, mobility, energy, fintech, or high-growth apps.
• Proven track record in leading brand campaigns, digital storytelling, and communication strategy.
• Demonstrated ability to turn business targets into creative strategies that drive measurable outcomes.
• Experience working cross-functionally and influencing product, growth, and creative teams.
• Comfortable building from scratch and thriving in a high-ownership, high-velocity environment.
• Bonus: experience in EV, mobility, consumer apps, ecosystem brands, or categories that require behaviour change.

Work Location: Bhyandar

Management Skills:

 Team Management

 Communication Skills

 Presentation Skills

 Project Management Skills

Domain Skills:

 Strong technical expertise in networking, systems administration, and desktop support.

 knowledge of networking, managing LAN, WAN Devices

 with server administration (Windows Server, Linux).

 with virtualization technologies viz. VMware, Hyper-V).

 Strong project management and organizational skills.

 Excellent communication, interpersonal, and problem-solving skills.

 Ability to work independently and as part of a team.

 Strong customer service orientation.

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.

Key Responsibilities

📌 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.

📌 Deployment Engineering and API Integration

Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments.

Required Skills & Qualifications

🎯 Technical Skills:

ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript

Audio Libraries: Librosa, Torchaudio, FFmpeg

Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet

Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation

Optimization: Quantization, pruning, GPU acceleration

DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC

🎯 Preferred Experience:

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

Compensation & Career Path:

Competitive pay based on experience and capability. ($800 - $1,000 USD / month)

Full-time with potential for conversion to a core team role.

Opportunity to lead future research and production deployments as part of our AI division.

Why Join Momenta?

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

What you need to have:

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

Job Description:

WLAN Linux Device Driver development (802.11ax preferred)

• WLAN Debugging
• WLAN Firmware development (802.11ac, 802.11n)
• Networking/Wireless Domain knowledge
• Hostapd, Supplicant
• Cross compiling/porting experience
• Performance optimization & Firmware enhancements

Must have Skills:

• 1-10 years of experience in Embedded Software Design, Implementation and testing
• Good knowledge of C or C++
• Basic knowledge in Scripting (Shell, Perl or Python)
• Proficiency in Problem Solving and Debugging skills
• Excellent team working skills
• Experience with version control e.g. GIT
• Basic experience of working in Linux OS
• Network Drivers
• WLAN Protocol Knowledge – 11n, 11ac
• WLAN Linux Device Drivers
• Hostpad, Supplicant
• WLAN Debugging
• Fluent in English

Desired Candidate Details:

• Design, development, and maintenance
• WLAN Stack development and debugging
• Feature Enhancements, Applications, Tools for SDKs
• Basic module level unit testing, System testing
• Providing support to technical documentation team and field application engineers
• Close collaboration with the Chipset Vendor on the Software Development
• Participations in the Product design and Software Design Documentation – High level / Module level / Low level design
• Troubleshooting software and architectural issues

We are looking for a seasoned Wireless LAN Software Engineer to join our Wireless & Networking team in Chennai, Pollachi, Kochi (Cochin), Gurugram, Manesar, Bengaluru (Bangalore). The candidate must be an experienced Engineer and a good team player, who will work on Wireless software solutions which will enable us to develop the products for our customers quickly with industry leading quality. Working with Embedded Software in agile development projects, you will be responsible for creating and maintaining software of Wireless Access Point and Router Products including Module design, Development, JIRA Updates and Unit testing of the Software that is meeting industry standards, creating demos of the solution and customer support.