11+ Houdini Jobs in India

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

A Tech. Lead needs to conduct the following responsibilities at work -

1. Billability of at least 34 hrs per week (Util Target). Resource needs to ensure that assigned hours are utilized on each project.
2. Perform thorough analysis.

A Tech. Lead must discuss the approach with TM or an onshore TA and finalize the ETAs.

1. Develop high-quality scalable code.
2. Ensure DevOps processes is followed across the team.
3. Facilitate proactive communication with project/product teams.
4. Facilitate learning & development for self and the team.
5. Exhibit good interpersonal skills by being a team player, staying approachable, and being collaborative.
6. Obtain and maintain certifications related to Salesforce, nCino, vlocity, Mulesoft, Marketing Cloud.

Good to have:

Apex, Lightning Aura, Lightning Web Components, Salesforce Integration

Involved in capex,modelling, Budgeting,investment decision making

Should be able to converse well with global stakeholders

O&G, Metals and mining heavy manufacturing Preferred

Others - not a frequent job hopper

Margin optimization -holistic understanding of the O&G P&L (not limited to 1-2 line items only)

- Design, Maintain, Support and Troubleshoot LDAP infrastructure spread across geographies and used for Authentication and authorization of critical applications/infrastructure.

- Design, Maintain, Support and Troubleshoot LDAP databases running on MySQL and Berkely DB.

- Design, Maintain, Support and Troubleshoot OpenSSL OR any other crypto suite.

Qualifications:*

1. 10+ years of experience, with 3+ years as Database Architect or related role

2. Technical expertise in data schemas, Amazon Redshift, Amazon S3, and Data Lakes

3. Analytical skills in data warehouse design and business intelligence

4. Strong problem-solving and strategic thinking abilities

5. Excellent communication skills

6. Bachelor's degree in Computer Science or related field; Master's degree preferred

*Skills Required:*

1. Database architecture and design

2. Data warehousing and business intelligence

3. Cloud-based data infrastructure (Amazon Redshift, S3, Data Lakes)

4. Data governance and security

5. Analytical and problem-solving skills

6. Strategic thinking and communication

7. Collaboration and team management

Responsibilities and Duties

  Can work on live projects of international clients.

  Can handle multiple projects

  Error-free coding.

Requirement -

  Minimum 3 Years Experience.

  Knowledge in Custom PHP, Codeigniter, Laravel

  Knowledge in MYSQL

  Knowledge in HTML5, CSS3

  Knowledge in Javascript

  Knowledge in Jquery

  Knowledge in Ajax

  Knowledge in Web API & Rest API

  Knowledge in Third Party API Integration

Dolat Capital is a multi-strategy trading firm, dedicated to producing superior returns by adhering to mathematical and statistical techniques. We trade actively in all Asset classes: equities, futures, options, commodities, currencies and fixed income taking advantage of our ultra-low latency infrastructure. Our low latency infrastructure is in C++, one of the most competitive in terms of latency.

The Quantitative Research team at Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We develop proprietary algorithms by using mathematical techniques and statistical analysis to identify patterns and behavior of markets.

The incumbent will be responsible to design, develop and implement computational algorithms/strategies that succeed in generating sizable profits consistently, in real life market for a high-frequency trading environment

• Proficient knowledge of a NodeJS and Express.
• Understanding differences between multiple delivery platforms (such as mobile vs, desktop), and optimizing output to match the specific platform
• Good understanding of server-side templating languages (such as Jade, EJS, Jinja, etc. depending on your technology stack)
• Good understanding of server-side CSS preprocessors (such as Stylus, Less, Sass etc. depending on your technology stack)
• Creating database schemas that represent and support business processes
• Data migration, transformation, and scripting
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Management of hosting environment, including database administration and scaling an application to support load changes
• Understanding of fundamental design principles behind a scalable application
• Good understanding of advanced JavaScript libraries and frameworks such as AngularJS.

• VueJS
• Express
• Socket.IO
• NuxtJS
• MongoDB (3.x)
• Mongoose