Data Scientist

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

Primary Skills:

Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS

Additional Skills Required:

• Should have experience working with Jenkins, Git, Gerrit
• Should have Good understanding of AWS Security and execution.
• Should have Good python skills
• Should have experience of working with GIT, Gerrit, Jira, Confluence,
• Exposure to messaging systems Rabbit MQ
• Exposure to Html, Groovy, Javascript, shell scripting
• Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
• Exposure to Android skills.
• Should have experience in working with cloud-native architecture.
• Experience with log stash and elastic search
• Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
• May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
• Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
• Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation

Key Responsibilities:

• Perform a Technical Lead role for DevOPs development and support teams.
• Need to communicate & coordinate with both offshore and onsite teams
• Should translate business requirements into project plans and workable item/activities
• Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
• Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
• Understand the current applications and technical architecture and improvise them as needed.
• Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc

Salesforce Developer

Job Summary:

Salesforce Developer will work with business and technology partners to maintain and enhance their Customer Relationship Management system (Salesforce.com). You must be a leader and a self-starter with the ability to propose innovative solutions based on a solid understanding of business strategy, regulatory changes, industry direction, and above all, Salesforce platform expertise key to creating an efficient, comprehensive and visually optimized product.

Experience: 3+ years

Responsibilities and Duties:

• Design and implement the key technical components of the solution and help the team to develop and deliver the project deliverables.
• Identify and confirm technical design risks, and develop mitigating approaches, judge the trade-offs with technology and feasibility and makes choices that fit the constraints of the project.
• Help reduce the overall project technical risk by uncovering design issues early in the project life-cycle, share implementation best practices, and recommending solution alternatives.
• Partners with the Technical Lead to conduct design/code reviews during major project milestones.

Required Skills :

• 3+ years overall experience, with a minimum year of experience in Salesforce with proven capability in designing software on the Force.com platform, with hands-on participation.
• Strong technical foundation including knowledge of different programming paradigms OOP/ Functional Programming/ Procedural Programming.
• Hands-on experience in LWC
• Advanced knowledge of Apex, VisualForce, Lightning, Chatter API, Connect API, Tooling API, Metadata API, Rest API, SOAP API, Bulk API, etc.
•  Extending functionality via Workflows, Apex code, Triggers, Apex Email Services, SOQL, Apex Web Service Callouts, Scheduled, Batch, Asynchronous, SOQL/SOSL
• Must already be working as a Salesforce Developer or a Senior Salesforce Developer
• Good knowledge of Lightning Web Components or Aura Components is a must.
• Strong experience in Agile methodology and ability to deliver in a global team environment with members working remotely in various time zones
• Communication Skills must be excellent across roles

Good to Have:

- PD1 Certification

- Good Knowledge of JavaScript frameworks like React, Angular, Backbone, etc.

Prospecting and Lead Generation US market - SaaS products

Farming, Cold reachout, existing relationships, partnerships

Product demo, proposal drafting, negotiation, contracts 

CRM (ZOHO) mgmnt

Exceed monthly, quarterly, annual targets

WordPress JD Below:-

• Designing and building the website front-end.
• Creating the website architecture.
• Designing and managing the website back-end including database and server integration.
• Should know WordPress Customization of themes and plugins.
• Conducting website performance tests.
• Troubleshooting content issues.
• Monitoring the performance of the live website.
• Must have hands on experience with JavaScript
• Job Location- Rajkot

Laravel developer is responsible for designing, developing, and maintaining web applications using the Laravel framework. They must have a strong understanding of PHP, MySQL, HTML, CSS, and JavaScript. Additionally, they should have experience working with other PHP frameworks and have a good understanding of software design principles.

The responsibilities of a Laravel developer may include:

• Developing, testing, and maintaining web applications using Laravel.
• Working closely with other developers and stakeholders to ensure the application meets requirements.
• Troubleshooting and resolving issues with the application.
• Writing clean, efficient, and well-documented code.
• Developing and maintaining APIs to integrate with other systems.
• Ensuring the application is secure and scalable.
• Participating in code reviews and collaborating with the team to improve code quality.
• Staying up-to-date with new technologies and best practices in web development.

Data Scientist

Requirements

● B.Tech/Masters in Mathematics, Statistics, Computer Science or another
quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,
Predictive modeling, Clustering, Deep Learning stack, NLP
● Working knowledge of Tensorflow/PyTorch

Optional Add-ons-

● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark
etc.
● Experience with databases: MongoDB