
Key Responsibilities:
š¹ People Strategy & Culture
ā Drive a high-performance, inclusive, and feedback-driven culture.
ā Be a culture champion ā align core values across leadership, teams, and processes.
ā Design and lead internal communication and engagement strategies.
ā Own and evolve the employee lifecycle experience (onboarding, engagement, retention, and exit).
š¹ HR Policies & Compliance
ā Develop and implement HR policies, frameworks, and handbooks aligned with startup agility and
compliance.
ā Ensure legal and ethical compliance across all HR practices and policies.
š¹ Performance Management
ā Own the performance management cycle (KPI/KRA setting, quarterly reviews, feedback sessions).
ā Build and implement systems to track individual and team performance.
ā Introduce modern and startup-friendly approaches to appraisal and career progression.
š¹ Organizational Development & Change Management
ā Lead org design, change management, and restructure initiatives during scaling or pivots.
ā Support teams through transitions while preserving employee morale and clarity.
š¹ Leadership & Capability Building
ā Partner with leadership on people strategy, succession planning, and team development.
ā Design learning and development (L&D) initiatives focused on leadership, resilience, and growth.
ā Coach mid and senior-level leaders on people and team dynamics.
Requirements
ā 10+ years of experience in People & Culture/HR roles Female candidate is preferred, with at least 5+ years in startup or high-growth environments.
ā Proven experience in building or revamping HR systems from scratch.
ā Deep understanding of startup dynamics, team scaling, and people operations.
ā Strong experience with culture design, performance systems (KPI/KRA), and leadership alignment.
ā Demonstrated success in managing org-wide change management initiatives.
ā Excellent communication, stakeholder management, and problem-solving skills.
ā Bachelor's/Masterās degree in HR, Organizational Psychology, or related fields.

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Industry:āÆIT Services & ConsultingĀ
Functional Area:āÆMarketing & Communication
Senior Machine Learning Engineer
š Location: Remote
š¼ Type: Full-Time
š° 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
Weāre 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
š 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.
š 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.
š 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.
š 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.
š 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
šÆ 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
šÆ 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.
š Apply now and help shape the future of voice security
Engineer (QAE). Should be an excellent individual contributor capable of understanding and
driving test execution with minimal help. Who can work towards understanding application
performance, functionality, and features to great depth enabling them to report issues, take
ownership and drive them to closure.
What will you be doing?
ļ· Develop and execute automated tests and test plans
ļ· Efficiently execute test cases across all functional areas of the products(API and App)
ļ· Review product user interface for conformity to design guidelines
ļ· Find, isolate, document, regress, and track bugs through resolution
ļ· Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process
ļ· Work with Engineering and product to understand the overall product requirements and
technical architecture and how each feature is implemented
ļ· Ensure the highest quality product delivery with security.
ļ· Evaluating and integrate open source and in house developed toolsets
What will you need ?
ļ· Bachelor/Master degree in CS or related field from a reputed college
ļ· 2-6 years of experience working as a Quality Assurance Engineer
ļ· Experience in manual testing for Application and APIs
ļ· Experience in automation testing using available framework.
ļ· Strong knowledge of QA methodologies, testing frameworks and tools
ļ· Demonstrated experience in test planning, test design, test execution and reporting.
ļ· Excellence in technical communication with peers and non-technical partners.
ļ· Understanding & experience with software design pattern, restful APIs and microservice
architecture
ļ· Prior experience in start-ups or health-tech will be a plus
- 0-2 years of experience or training received as a Software Tester for web and mobile applications or similar roles.
- Strong knowledge of Test case preparation and Covering Test Scenarios.
- Excellent written and verbal communication skills.
- Strong analytical and documentation skills to present findings to team members.
- Analyze client requirements for validity and feasibility
- Good logical and analytical thinking
- Execute all levels of testing - Software Tester - Manual testing
- Detect and track defects and inconsistencies
- Experience with Restful API services
- Strong Knowledge in using the JIRA tool.
Responsibilities
- Developing new user-facing features using React.js
- Building reusable components and front-end libraries for future use
- Translating designs and wireframes into high-quality code
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers
Skills:
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Good Experience in Next.js
- Thorough understanding of React.js and its core principles
- Experience with popular React.js workflows (Redux)
- Familiarity with newer specifications of ECMAScript
- Experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
LogiNext is looking for an experienced and dedicated Presales Solutions Manager to become a part of our fast growing team. A tech enthusiast that you are, you will be passionate about conveying value to our clients while closing huge and complex deals. With a deep understanding of Enterprise SaaS application, you will offer solutions where LogiNext products can be put to best use helping clientās achieve visionary objectives.
You should be a reliable technical advisor to clients and overcome complicated implementation challenges. You will lead the solution design throughout the sales cycle and deliver ideas and solutions to clients to change their customerās experience. You should have an intense desire to set the vision transforming business goals into exciting and actionable propositions.
Responsibilities :
Develop and convey out-of-the-box solutions, along with solution ideas to key decision makers to focus on their business issues Understand and articulate the benefits of LogiNext products to educate enterprise clients on the value proposition of our products Conduct on-field and on-site Proof of Concepts wherever required to assist clients validate technical requirements Associate with Account managers and Business Development managers to pilot complex deal cycles with C-level executives Work cross-functionally with business development, marketing, technology and finance team to ensure the timely and successful delivery of the solutions according to customer needs and objectives Recognize product and technology disparity with customers and present a point of view to product and leadership teams Run change management programs to drive change on the ground by working with clientās on-field workforce at the warehouse or remote branches Perform business analytics on the clientās business KPIs and present to the clientās management Generate leads by reaching out to prospective clients across countries and time-zones Assist business development manager in achieving the sales targets by conducting pilots, showcasing results and building conviction at the client
Requirements :
Bachelorās or Masterās Degree in Computer Science, Information Technology, Business Management, Statistics or related field 4 to 7 years of experience in technical pre-sales or sales preferably in SaaS companies Solid know-how of Enterprise SaaS products Ability to multi task at a high degree with passion, strong initiatives and positive attitude Advanced skill-set for driving system integrations, gathering requirements, documenting RFI/RFPs and cross-functional project management Proficient in Excel and SQL Excellent written and verbal communication skills and the ability to persuade, influence, negotiate and make formal presentations in meetings and training environments Confident and dynamic working persona, which can bring fun to the team, and sense of humor, is a plus Strong organizational skills, judgment and decision-making skills, and the ability to work under continual deadline pressure Willingness to travel around 100% of the time within the city and between cities
Responsibilities:
- Genrate leads from Bidding portal (Upwork, Guru, PPH,etc...).
- B2B Lead Genearation from LinkedIn
- Excellent communication and interpersonal skills
- Client research and Email Campainging
- Revenue realization by generating business leads from Internet/Other sources
- Identify the customer needs and develop customized solutions for delivery
- Cold Calling alsoto potential clients
- Respond to sales requirements from existing and potential customers
- Build & maintain healthy relationship with the company's clients
- Responsible to achieve monthly target
- Regular Reporting to the senior management & Follow-ups with the customers/clients
- Maintain Daily & Monthly status reports
- To acquire new corporate clients in the specified region /market










