
We are hiring for Corporate Ticketing (Male)
Location- Noida
Experience- 3+ Yrs
Rotational Shifts (1pm to 10pm)
Required:
● Possess in-depth knowledge of GDS systems, specifically Galileo and sabre
● Demonstrate proficiency in managing both international and domestic ticketing operations
● Strong understanding of city codes, airport codes, and airline hubs.
● Excellent communication skill in both written and verbal formats
● Willingness to work in rotational shifts, including nights and weekends

About EaseMyTrip.com
About
EaseMyTrip commenced its operations in 2008 by focusing on the B2B2C (business to business to customer) distribution channel and providing travel agents access to its website to book domestic travel airline tickets in order to cater to the offline travel market in India. Subsequently, by leveraging its B2B2C channel, the company commenced operations in the B2C (business to customer) distribution channel in 2011by primarily focusing on the growing Indian middle class population's travel requirements. With our presence in the B2B2C and B2C channels, we were able to commence operations in the B2E (business to enterprise) distribution channel in 2013 with the aim of providing end-to-end travel solutions to corporates. Our presence in three distinct distribution channels provide us with a diversified customer base and wide distribution network. We believe that the strength of our brand, the quality of our services, our user-friendly websites (www.easemytrip.com and www.easemytrip.in), android and iOS based mobile applications (EaseMyTrip), our customer centric approach, as well as our efficient marketing programs have enabled us to develop significant market share in the domestic airline ticket business in India. In Fiscal 2019, GoAir, and SpiceJet, recognized us as amongst the top travel partners in terms of revenue and passenger count. The strength of our brand has increased significantly over the years. Our technology-enabled infrastructure and systems have enabled us to operate and maintain an efficient and lean organization related to the size of our operations. We have not required any equity infusion subsequent to our original incorporation requirements, and we have historically financed our working capital requirements and the expansion of our business and operations primarily through funds generated from our operations and debt financing.
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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
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- Experience with DevOps development methodologies would be a plus
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We create digital products with purpose that have a lasting impact on users' lives and clients' businesses. We are a team of dreamers and doers united by a simple idea: If we make a difference for your customers, we will make a difference for your business too. And it works. Since 2009, we have led early-stage startups and top-tier brands to "wow" their customers with best-in-class digital products and experiences. The Wall Street Journal calls us “YML is one of the most innovative companies in Silicon Valley.” Through next-generation technologies and world-class design, we help brands like Apple, PayPal, L'Oreal, Home Depot, Kaiser Permanente, State Farm, First Republic Bank etc develop solutions
that drive major business outcomes. Founded in 2009, Y Media Labs is headquartered in Silicon Valley with four offices worldwide including Atlanta, Indianapolis, Bangalore & Sao Paulo. We came of age with the invention of the app store. We have mobile in our DNA. We create
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Our team in Bangalore is close to 250 strong, and we are growing in a variety of ways. Our goals include a culture of excellence and we are looking to transform the team to be one of the best tech teams in Bangalore. We are looking to hire multiple iOS Engineers at different levels to help us code the world class apps we are creating. If you are a mobile engineer looking to build apps that will be used by millions of consumers worldwide, build apps for brands that you can be proud to show to your family and friends – you need to join us!
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finhence is hiring for the role of back-end web developement intern.
duration- 4 months
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experience- freshers/ undergraduates can apply
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Core JAVA, JSP,Servlet, JavaScript, JQuery/Angular and HTML 5
Spring Boot Framework , Hibernate/JPA,
REST API using the Java,
GIT / GitHub/SVN,
And MySQL/Oracle
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Added Advantage
Micro service architectureEducational Qualifications:
BE / MCA
Relevant Experience:
5+ years of work experience.
Working 6 days per week
Behaviors:
Good Communication Skills.









