Brand Manager

Role Summary

The Executive – AFS Operations (Back Office) will be responsible for supporting day-to-day aftersales operational activities through documentation, coordination, MIS reporting, CRM updates, billing support, and technician scheduling. The role ensures smooth backend execution of service operations and timely closure of jobs with proper records and compliance.

🎓 Education & Skills

• Diploma / Graduate in Mechanical / Electrical Engineering or any related field

• 1–3 years of experience in Back Office / Operations Coordination roles

• Good knowledge of MS Excel, Email Coordination, and Documentation

• Basic understanding of service operations, job cards, and billing workflows

• Strong communication, coordination, and multitasking abilities

🔧 Key Responsibilities

🧩 Operations Coordination

• Coordinate with internal teams for job scheduling and execution updates

• Track daily service activities and technician deployment status

• Maintain operational records, trackers, and job status reports

• Support service planning and execution coordination activities

📦 Documentation & Billing Support

• Maintain and verify job cards, service reports, GRNs, and acknowledgments

• Ensure all service documents are complete and billing-ready

• Share verified documents with billing/commercial teams

• Maintain soft copies and filing of operational records

🗃️ CRM & MIS Management

• Update job execution details in CRM on a daily basis

• Prepare MIS reports, Excel trackers, and pending job reports

• Monitor job closures and maintain accurate operational data

• Share regular updates with reporting managers

📧 Communication & Follow-up

• Coordinate with technicians, stores, and internal departments via email/phone

• Follow up on pending documents, approvals, and service updates

• Escalate delays or operational issues to seniors when required

• Support audit documentation and compliance activities

🛠 Skills Required

✔ MS Excel, Word & Outlook

✔ MIS Reporting & Documentation

✔ Coordination & Follow-up Skills

✔ CRM/Data Management

✔ Time Management & Multitasking

✔ Attention to Detail & Problem Solving

👤 Experience:

2–3 Years in Back Office / Operations / Coordination roles preferred

Job Summary: We are seeking a proactive and technically skilled information security (SOC) Engineer/Analyst to monitor, detect, and respond to cybersecurity threats in real-time. The ideal candidate will have strong analytical skills, be detail-oriented, and possess a sound understanding of threat landscapes, SIEM tools, and incident response. The ideal candidate will possess a strong foundational understanding of cybersecurity governance, robust technical skills in security operations, and a commitment to staying abreast of the evolving threat landscape and internal security requirements.

Key Responsibilities

• Monitor security events and alerts from SIEM and other security tools.
• Perform initial triage and investigation of potential threats or anomalous behavior.
• Escalate incidents according to severity and defined procedures.
• Document incidents, provide root cause analysis, and maintain detailed logs.
• Analyze threat intelligence feeds and correlate with internal data.
• Assist in threat hunting and vulnerability management activities.
• Support continuous improvement of SOC processes and playbooks.
• Collaborate with other IT and Security teams for incident resolution.
• Assist in developing and tuning SIEM rules, queries, and dashboards for threat detection.
• Contribute to vulnerability management and secure configuration of internal systems and cloud environments.
• Support the testing and execution of recovery plans for security systems and data.
• Document incident findings, remediation steps, and contribute to post-incident reviews.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Cybersecurity, or related field.
• 2–5 years of experience in a SOC environment or similar security operations role.
• Familiarity with SIEM tools (e.g., Splunk, QRadar, Sentinel).
• Understanding of TCP/IP, firewalls, IDS/IPS, and common attack vectors.
• Knowledge of malware, phishing, ransomware, and social engineering tactics.
• Hands-on experience with endpoint protection, network monitoring, and forensic tools.
• Excellent communication and documentation skills.
• Preferred Certifications:
• CompTIA Security+ or CySA+
• Vendor-specific SIEM certifications.

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Online group buying platform that helps people connect with likeminded people who want to buy the same item/product at a discounted price.

• Overlook development of all consumer products in JAVA and
• Optimize components for maximum performance across a vast array of web-capable devices and
• Focus on code maintainability and performance of
• Provide technical advice and assists in solving programming
• Continuously create new and interactive features that would help to improve user experience and user engagement.
• Assist with troubleshooting of issues as
• Lead the design and architecture of software
• Assist in developing and maintaining continuous integration.

• Skills required: JAVA, Python (Flask and Django), Spring/Spring Boot, React, Hibernate,
• 2+ years of experience in Java and Python
• Linux, REST, Kafka, Mysql,, AWS, ELK Stack (Elasticsearch), CI/CD
• Good experience in Java and/or Python based
• Experience in designing databases and system
• Experience in building products from scratch at well-funded start-ups

Flutter JD:

Key Responsibilities:

Collaborate with project managers and designers to understand project requirements and translate them into technical specifications.

Develop, test, and maintain Flutter-based mobile applications that are responsive, performant, and reliable.

Write clean, maintainable, and well-documented code.

Troubleshoot and debug application issues, ensuring smooth and efficient performance.

Continuously research and stay up-to-date with the latest trends and best practices in mobile application development.

Collaborate with cross-functional teams to define and implement new features and improvements.

Participate in code reviews and provide constructive feedback to peers.

Ensure the security and data privacy of the applications you develop.

Requirements:

Proven experience as a mobile app developer, with a strong portfolio of Flutter-based applications.

Proficiency in the Dart programming language.

Experience with the Flutter framework and its ecosystem, including state management and third-party libraries.

Knowledge of mobile app architecture patterns (e.g., MVC, MVVM, Redux).

Familiarity with RESTful APIs and integration of third-party services.

Strong problem-solving and debugging skills.

Excellent communication and collaboration skills.

Ability to work both independently and as part of a team.

Knowledge of version control systems (e.g., Git) is a plus.