BDA b2b saas for US Market

Roles & Responsibilities:

• In-depth knowledge and hands on experience on IBM FileNet (CPE) and Java/J2EE is mandatory.

• Good understanding of React JS, JavaScript, jQuery, Bootstrap, and front-end languages.

• Understand Project and detailed Scope and seek clarifications where necessary.

• Design, develop, and unit test applications / products.

• Analyze the impact due to changes in code.

• Design algorithms and flowcharts.

• Produce clean, efficient, and re-usable codes based on specifications.

• Run and automate tests to find any errors or bugs.

• Verify and deploy programs and systems.

• Configure, code and test enhancements and modifications to new and existing IBM FileNet applications.

• Proficiency in development and integration with SOAP Webservices, RESTful APIs and Microservices.

• Active Involvement in Development of Utility Job and Batch process associated with FileNet Application is a must.

• Knowledge of WebSphere Application Server, Deploying IBM FileNet, and Java/J2EE Application from lower to higher environments is essential.

• Troubleshoot issues and help define solutions to these issues.

• Displays a strong work ethic and sense of urgency.

• Part of the FileNet Development Team Engaged in active problem solving to identify technical roadblocks and implement solutions that can improve the direction of our application product.

• Key learner and timely update self-skill sets.

• Familiar with the use of code versioning tools such as Bit bucket, GIT or SVN.

• Basic Understanding of S3 Storage, IBM DB2, JIRA tool and Confluence (team workspace) will be an advantage. Education

Required Qualifications

• 5+ years of experience leading software or operations implementations, ideally in consulting or client-facing roles.
• Experience working with or managing e-commerce platforms (e.g., Amazon, Shopify, Tiktok Shop, etc.).
• Ability to understand how orders, inventory, and finance systems interact in a business environment.
• Strong client engagement, communication, and project management skills.
• Comfort in dynamic environments with changing priorities and customer demands.

Good to Have (Preferred Qualifications)

• Experience working with OMS or ERP systems like NetSuite, Brightpearl, Skubana, or Cin7.
• Familiarity with warehouse management systems or accounting platforms.
• Understanding of REST APIs, data formats like JSON, and integration concepts.
• Exposure to integration tools or platforms such as Celigo, Boomi, or Mulesoft.
• Ability to write simple scripts (Python, JavaScript, SQL) to validate data or automate simple tasks.
• Experience troubleshooting data or process issues between systems.
• A background in software development, accounting, data engineering, or e-commerce logistics.
• Interest or experience in leading and mentoring a growing team.

We are seeking a highly skilled and motivated Full Stack Developer with strong proficiency in React.js for front-end development and Java (Spring Boot) for back-end services. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications, ensuring responsiveness and performance across the stack.

Key Responsibilities:

• Develop and maintain front-end web applications using React.js, Redux, Elastic Serach, TypeScript, HTML5, and CSS3.
• Design and implement RESTful APIs and microservices using Java, Spring Boot, and related frameworks.
• Collaborate with UI/UX designers, product managers, and QA to translate business requirements into technical solutions.
• Optimize applications for maximum speed and scalability.
• Integrate with third-party APIs, services, and databases.
• Write clean, maintainable, and testable code following best practices.
• Conduct code reviews, unit testing, and participate in system design.
• Troubleshoot and debug production issues as needed.
• Participate in Agile/Scrum development lifecycle including sprint planning, stand-ups, and retrospectives.

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

Job Responsibilities -

● Identifying and onboarding the potential DSAs and Channel partners from open market

● Build and strengthen relationships with new and existing partners to drive business targets

● Provide day to day operational support to your channel partners

● Responsible for driving monthly sales targets and respective business metrics

Job Requirements -

● Excellent sales skills, e.g. rapport building and negotiation skills

● Good written and verbal communication skills

● Should have prior experience in NBFC and DSA preferably in mortgages (Home loan and

LAP)

● Own Conveyance and strong local industry network are preferred for this role

● Fluency in the regional language will be an additional benefit

Job Description

• Ensure hardware quality by performing client's qualification tests on servers and components 
• Draft organized and detailed qual reports of tests showing outputs and PASS/FAIL results 
• Debug HW issues found during tests by running investigative steps such as reproduction tests, problem isolation and fix verification. 
• Prepare servers for test by validating HW config and updating FW 
• Provide progress updates of tests on a regular basis in task tracker 
• Attend stakeholder meetings to provide updates to open qualifications 
• Support building out diagnostic definitions for hardware failures 

Qualifications

• 5+ years of BMC test experience  
• Experience with data center server (x86) and component testing and debug - CPU, DIMM, Motherboard, BMC, SATA/NVME Drive, NIC, PSU 
• Experience with data center server FW component testing and debug - BIOS, BMC/IPMI/redfish, Drive FW, NIC FW, RAID FW, CPLD 
• Experience with Linux shell/bash scripting to support HW testing 
• Experience on Python automation  

• 5+ Years of IT experience

• 3+ Years of development experience with either Automation Anywhere

• Knowledge on UI path

• Minimum of 3 years hand on experience working with Automation anywhere 10.7 or higher.

• Should have knowledge on 11.x.

• Proficient in automating complex business requirements and proactively propose alternate solution.

• Designing and development of bots/Metabot to enhance the functionality.

• Must have worked on automating process that involve ERP systems, web sytems.

• Proficient in understanding the requiement and propose the relevant RPA tool (Automation anywhere and UI path)

• Should be open to learn new technogies and share the workload of team members.

• Bachelor’s/Master’s degree in Computer Science/Information Technology or a related field

• Strong verbal and written communication

• Strong analytical and problem-solving skill

• Relationship management

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.
• To contact potential customers and identify new business opportunities.
• To stay abreast with customer needs, market trends and competitors.
• To maintain clear and complete sales reports for management review.
• To build strong relationships with customers for business growth.
• To analyze sales performances and recommend improvements.
• To ensure that sales team follows company policies and procedures at all times.
• To develop promotional programs to increase sales and revenue.
• To plan and coordinate sales activities for assigned projects.
• To provide outstanding services and ensure customer satisfaction.