Human Resource Analytics Specialist

About the Role

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Backend Engineer for a dedicated client engagement building an AI-powered application builder platform.

The backend is the operational core of the product: it manages user projects and sessions, coordinates long-running AI agent workloads, maintains project state, and serves as the integration layer between the frontend, the AI system, and the underlying infrastructure.

The mandatory requirement is hands-on production experience shipping Node.js services, with end-to-end ownership of API design, data modelling, and at least one production system involving background job processing or event-driven patterns.

Responsibilities

API and service development: Design and build REST APIs in Node.js with TypeScript. Cover authentication, session management, input validation, structured error handling, streaming responses (SSE, WebSockets), and rate limiting. Maintain clean API contracts that the frontend and AI system can rely on.

Database design and management: Own PostgreSQL schema design for product domains including user accounts, projects, file trees, session state, and generated artefacts. Write efficient queries, manage migrations, and optimise for read patterns that serve a real-time editor experience.

Caching strategy: Implement and maintain caching with Redis for session data, project state, and frequently read configuration. Design cache invalidation logic that keeps the editor experience consistent without stale reads.

Queue and background job management: Implement and operate background job infrastructure using BullMQ or equivalent. AI agent runs are long-running and stateful; handle retries, failure states, priority queues, and concurrency limits.

AI system integration: Build the integration layer between the backend and the AI agent system. Manage job dispatch, result handling, streaming output to the frontend, and error propagation.

Multi-tenancy and access control: Implement tenant data isolation, RBAC, and resource ownership enforcement across all API surfaces.

Observability and reliability: Instrument services with structured logging, metrics, and tracing. Write defensive code with sensible timeouts, fallback behaviour, and circuit breaking on external dependencies.

Testing and code quality: Write unit and integration tests for the services you ship. Review the work of peers and contribute to shared engineering conventions.

Requirements

• Hands-on production Node.js experience (mandatory) — must have personally shipped at least one feature area end to end in a production Node.js service, owning API design, data modelling, and testing.

• 3 to 5 years of professional backend engineering experience. Candidates with slightly less time but strong demonstrated ownership are welcome to apply.

• Strong Node.js and TypeScript. Production experience with Express, NestJS, or Fastify. Solid with async patterns, streaming, error handling, and building services that run reliably under sustained load.

• PostgreSQL depth. Schema design, query writing, indexing, and migrations on at least one production system.

• Redis and caching. Production experience using Redis for caching and session management. Understands cache invalidation trade-offs.

• Queue and background job systems. Hands-on with BullMQ, RabbitMQ, SQS, or equivalent. Experience managing retries, dead-letter queues, job priority, and concurrency control.

• AWS working knowledge. Comfortable with EC2, S3, RDS, SQS, and IAM. Familiar with Docker and basic deployment and environment management.

• Strong written and spoken English. Able to communicate clearly with engineers across disciplines and write precise technical documentation.

Nice to Have

Experience integrating with AI or LLM services (streaming responses, structured outputs, retry patterns); WebSocket or SSE implementation for real-time features; multi-tenant SaaS product experience; GraphQL; OpenTelemetry instrumentation; prior work on developer tools or editor-style products.

• Planning, scheduling & coordinating appointments & meetings, providing reminders, maintaining & updating diary of daily commitments & weekly calendar on a proactive basis. 

• Interacting with & rendering assistance to select HNI & VIP customers, coordinating certain critical Outdoor Catering & Party Orders, VIP reservations, etc. 

• Receiving calls, taking messages, screening & prioritizing calls & mails. 

• Taking down dictations & appropriately drafting data points & correspondences, proactively responding to queries received through calls/mails based on feedback & preferences conveyed by the Managing Director. 

• Preparing, editing & compiling agendas, minutes, correspondences & presentations. 

• Organizing & maintaining files, documents as well as other office records, both offline & online, preserving & safeguarding confidential data & documents in an efficient manner. 

• Making travel arrangements (ticketing, hotel reservations, etc.) on behalf of the Managing Director & other senior executives, coordinating with outstation visitors & proactively looking after their boarding & lodging arrangements, based on preferences conveyed by the Managing Director. 

• Undertaking primary as well as secondary research & accordingly, developing briefs, reports & presentations as per pre-determined timelines. 

• Proactively observing & recording various discussions/conversations undertaken by the Managing Director from time to time & accordingly, framing action plans. 

• Managing communication pertaining to projects, new launches as well as other such expansion & diversification undertakings that directly come under the purview of the Managing Director. 

• Imparting induction & training to select employees hired for functions that are directly or indirectly associated to those of the Managing Director’s office. 

• Coordinating with outstations suppliers & vendors (China, Italy, etc.) quotations, purchase orders, purchase/ delivery payments.  

• Responding to various inquiries - internal as well as external, acting as a point of contact between the Managing Director & other employees, tracking the work plan allocated to certain employees by the Managing Director & monitoring timelines with regard to the same. 

• Organizing & maintaining files, documents as well as other office records, both offline & online, preserving & safeguarding confidential data & documents in an efficient manner. 

• Negotiating with various suppliers, vendors & contractors, receiving competitive quotations, making comparisons, making purchases of materials & supplies based on feedback received from the Managing Director. 

• Spearheading all coordination pertaining to maintenance, upkeep & repair of corporate as well as outlet & store infrastructure (on a case to case basis), as per directions & preferences issued by the Managing Director from time to time. 

• Undertaking primary as well as secondary research & accordingly, developing briefs, reports & presentations as per pre-determined timelines. 

• Proactively observing & recording various discussions/conversations undertaken by the Managing Director from time to time & accordingly, framing action plans. 

Job Opportunity: iOS Developer at FrontM

Location: Bangalore

Experience: 3–6 years

Education: B.E/B.Tech in Computer Science or related field

Salary: Above market standards

Career growth: Long-term opportunity with potential to evolve into lead mobile architect roles

About FrontM

FrontM builds software solutions for frontline workforces, with a strong focus on the maritime industry. Our platform supports mobile, web and specialised onboard use cases, including communication, collaboration, welfare, learning, healthcare and operational tools.

The platform is used in remote and bandwidth-constrained environments, so our mobile applications must be reliable, lightweight and carefully optimised.

Role Summary

As an iOS Developer, you will build and maintain core features of the onship iOS application.

You will work on scalable iOS architecture, real-time communication features, messaging, notifications, media experiences and performance optimisation for environments with limited connectivity.

This role requires strong iOS fundamentals, hands-on experience with Swift and Objective-C and the ability to build reliable applications for iPhone and iPad users.

Key Responsibilities

Application Development — 60%

• Develop and maintain iOS applications using Swift and Objective-C
• Build responsive, clean and reliable iOS user interfaces
• Implement messaging, notifications, calling, video calling and media-related features
• Integrate REST APIs, WebSockets and real-time communication services
• Optimise app behaviour for low bandwidth and intermittent connectivity
• Maintain compatibility across supported iOS and iPadOS versions
• Work with product, design and backend teams to deliver stable features

Platform & Architecture Development — 25%

• Design and maintain reusable iOS components
• Implement modular architecture for scalable feature development
• Work with iOS frameworks such as UIKit, SwiftUI, Foundation, AVFoundation and Core Data
• Integrate third-party SDKs where required
• Improve application performance, memory usage and startup time
• Support secure authentication, token handling and local storage
• Contribute to build, release and deployment processes

Reliability, Performance & Quality — 15%

• Write unit tests and UI tests
• Perform code reviews and maintain code quality standards
• Diagnose crashes, memory leaks and performance bottlenecks
• Use profiling and debugging tools such as Instruments, Xcode Debugger and Console
• Support App Store and enterprise distribution releases
• Maintain clear technical documentation where required

Required Technical Skills

iOS Development

• Strong experience with Swift
• Working knowledge of Objective-C
• Strong understanding of iOS SDK and Apple development ecosystem
• Experience with UIKit and/or SwiftUI
• Good knowledge of iOS app lifecycle, background modes and permissions
• Experience with push notifications and deep linking

Networking & APIs

• REST API integration
• WebSocket-based communication
• JSON parsing and API error handling
• Offline handling, retry logic and network state management
• Secure handling of authentication tokens and local data

Communication & Media Features

• Experience with audio/video calling features
• Familiarity with VoIP push notifications
• Experience with CallKit is a plus
• Experience with AVFoundation or WebRTC is a plus
• Experience with messaging, chat or real-time communication apps is preferred

Performance & Platform Knowledge

• iOS lifecycle and memory management
• App performance profiling using Instruments
• Debugging crashes and production issues
• App optimisation for low bandwidth environments
• Experience deploying apps through App Store Connect and enterprise distribution

Tools & Development Practices

• Xcode
• Git
• CocoaPods and/or Swift Package Manager
• CI/CD pipelines for iOS builds
• Firebase, Crashlytics or similar crash reporting tools
• Agile development practices

Personal Attributes

• Strong problem-solving skills
• Attention to detail in UI behaviour and performance
• Ability to work independently and ship reliable code
• Clear communication and collaborative mindset
• Comfortable working in fast-moving engineering teams
• Willingness to work on real-world operational use cases

Why join FrontM?

Long-Term Career Growth

Opportunity to work on complex mobile platforms used across global operations, with scope to grow into senior engineering or mobile architecture roles.

Engineering Challenges That Matter

Build mobile applications that need to work reliably in remote environments, limited connectivity and demanding operational conditions.

Meaningful Impact

Your work will directly support frontline professionals by improving access to communication, information and operational tools.

Apply Now

Join a team focused on building reliable software for real-world use cases and contribute to technology used across the global maritime workforce.

Support Engineer

The Support Engineer will be responsible for providing technical support for the Risk Management System (RMS) product, ensuring that both internal and external users can resolve issues quickly and efficiently. This role involves troubleshooting technical problems, providing solutions, and collaborating with engineering and QA teams to enhance the product. Additionally, the Support Engineer will assist with user training, monitor system performance, and contribute to continuous product improvement. 

Roles and Responsibilities

• Act as the first point of contact for users experiencing issues with the RMS platform, both internally and externally. 
• Troubleshoot and resolve product-related issues, ensuring minimal disruption to users. 
• Collaborate with product and engineering teams to identify and resolve recurring technical problems and escalate more complex issues. 
• Document support tickets, ensuring detailed tracking of issues, resolutions, and feedback. 
• Provide training and guidance to users on how to effectively use the RMS system.
• Ensure customer satisfaction by providing timely and effective solutions to any issues faced by users. 
• Assist in the preparation of knowledge base articles, user documentation, and FAQs to empower users to resolve minor issues independently.
• Respond to user queries in a friendly and professional manner, ensuring clear communication. 
• Proactively follow up with customers to ensure issues are resolved to their satisfaction.

Required Skills

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. 
• Prior experience in software support preferably in a fintech or financial services environment. 
• Experience with troubleshooting software and hardware issues in a production environment.
• Hands-on experience with common support/ticketing tools (e.g., JIRA, Bugzilla, Selenium, Postman, etc.).
• Ability to manage multiple priorities and deliverables in a fast-paced environment.
• Familiarity with databases like SQL.

Key Responsibilities 

• Design, develop, and deploy scalable .NET applications and microservices supporting core 

retail operations.

• Build and maintain robust integrations using Kafka, REST APIs, and middleware 

components.

• Work closely with product, POS, merchandising, warehousing, and ERP teams to translate 

business needs into reliable technical solutions.

• Optimize system performance and ensure integrations remain stable across high-volume 

retail cycles.

• Implement best practices in coding, testing, CI/CD, and cloud-native architectures.

• Troubleshoot production issues with speed and a cool head—especially when it impacts 

stores.

• Document technical designs, data flows, and integration contracts clearly.

Required Skills & Experience 

• 6–8+ years of hands-on full stack development using .NET Core / .NET 6+, C#, and 

modern frontend frameworks (React/Angular preferred).

• Strong expertise in Kafka (producers, consumers, topics, partitions, schema registry).

• Solid experience designing RESTful APIs and integrating with enterprise systems.

• Prior experience in retail technology is non-negotiable—POS, inventory, warehousing, or 

ERP exposure is essential.

• Strong knowledge of relational databases (SQL Server, PostgreSQL) and caching 

frameworks.

• Experience building scalable, distributed systems that can handle peak loads.

• Familiarity with containerization (Docker/Kubernetes) is a plus.

• Excellent problem-solving skills and the ability to work independently on a contract basis.

Nice to Have 

• Experience with message brokers beyond Kafka (e.g., RabbitMQ)

• Exposure to cloud platforms (Azure/AWS/GCP)

• Knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)

• Understanding of retail data models and omnichannel workflows

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

Gather, analyze, and document business requirements from stakeholders, ensuring clarity and completeness.

Translate business needs into detailed technical requirements for the development team.

Collaborate with cross-functional teams, including product managers, developers, and designers, to ensure successful project execution.

Monitor and evaluate project progress, ensuring alignment with business objectives and timelines.

Conduct in-depth data analysis to identify trends, derive actionable insights, and provide strategic recommendations.

Prepare comprehensive reports, presentations, and documentation for management and stakeholders.

Identify potential risks and propose mitigation strategies to ensure project success.