UiPath Developer

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

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) Skills Required

Essential Skills (Two top

skills)

3 possible combinations.

1. Candidate having expertise in both ElasticSearch and Kafka, preferably.

OR

2. Candidate having expertise in ElasticSearch and willing to learn Kafka.

OR

3. Candidate having expertise in Kafka and willing to learn ElasticSearch.

B) Other Information

Educational Qualifications Graduate

Experience Mid-Level (6+ years)

Minimum Qualifications:

ElasticSearch/OpenSearch

· Software Lifecycle/programing skills

· Linux

· Python

· Ingestion tools (logstash, OpenSearch Ingestion, Fluentd, fluentbit, Harness,

CloudFormation, container, images, ECS, lambda).

· SQL query

· Json

· AWS knowledge

Kafka/MSK

· Linux

· In-depth understanding of Kafka broker configurations, zookeepers, and

connectors

· Understand Kafka topic design and creation.

· Good knowledge in replication and high availability for Kafka system

· Good understanding of producers and consumer group

· Understanding Kafka partitions and scaling up

· Kafka latency/lag and throughput

· Integrating Kafka connect with various data sources can be internal or external.

· Kafka security using SSL/Certs

Android Developer: 

Position: Android/Java/Kotlin Developer 

 - Selected candidate is required to be a part of the product development team and have to manage both maintenance and enhancement projects & building Mobile Applications using web services. 

Skills & Expertise we look for: 

1. Should be passionate about user interface design and have skills in Native Android with proficiency in Kotlin and Java. 
2. Out of the box thinking to troubleshoot and solve problems 
3. Should be willing to implement latest technology trends like XML/Compose UI, MVVM pattern, Livedata, Data binding, Pagination, Coroutines and other Jetpack components. 
4. Should be able to analyze customer requirements, estimate the effort, provide the deliverable date to the customer and make sure to ship the feature on time 
5. Experience in Release management like creating, merging, maintaining branches, versioning and releasing apps. Should have experience in publishing apps to play store. 
6. Ready to help team members in their technical challenges 
7. Collaborate with cross-functional teams to define, document, design, and ship new features

Personality we expect: 

1. You love an Agile work culture and deliver as per plan  
2. You're a lively person who's passionate on what you do  
3. You're a nonstop learner and enjoy sharing the learning to your juniors 
4. You're socially connected with the team and helping others team voluntarily. 
5. You're tech- expertise and effective in tools operation automate the regular process. 
6. You're someone who loves problem-working by seeing the occasion in every challenge and you enjoy learning from failures  
7. Honestly share your experience, feedback, challenges, learning and emotions for the day in your daily diary. 
8. Think of user needs instead of system needs 

• Lead technical requirement sessions with clients and internal stake holders
• Create new courses related to Data architecture, database design, data mining, data visualization, Power BI for the learners of EduBridge
• Deliver training to the aspiring trainers
• Design and create training manuals, online learning modules, and course materials on
• Review training materials from a variety of sources and choose appropriate materials
• Should be comfortable working individually as a self-starter.
• Be forward-thinking when designing content and adhere to adult learning principles
• Enjoy working with tight deadlines and providing valuable input on projects to enhance and customize training processes to exceed operational needs
• Creating instructional content that incorporates audio and video
• Create knowledge and skills assessments
• Evaluate learning effectiveness
• Apply current research and theory to learning design challenges
• Write/Review storyboards to make the technical content interesting