Digital Marketing Manager

Strong Application Security / Penetration Testing Profiles

Mandatory (Experience 1):Must have 3+ years of total experience in Penetration Testing / Vulnerability Assessment with hands-on experience across web applications, mobile apps, and APIs, especially in transaction-intensive platforms.

Mandatory (Experience 2):Must have strong hands-on experience in business logic testing and fraud simulation, including scenarios such as bid manipulation, price tampering, replay attacks, fake approvals, and maker-checker bypass.

Mandatory (Skills 1): Proficiency in advanced security testing tools such as Burp Suite, OWASP ZAP, Kali Linux, Metasploit, and ability to perform custom attack scripting.

Mandatory (Skills 2): Strong expertise in authentication, session/token security, API penetration, input manipulation, and fraud simulation, with the ability to highlight the business impact of each exploit (financial loss, unfair deal awards, reputational risk)

Mandatory (Education): Bachelor’s in Engineering/IT (B.Tech/BE) or MCA.

Mandatory (Certification): At least one advanced security credential: OSCP, OSWE, CEH Practical, or CREST.

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

• 4+ years of experience in IT
• Demonstrable expertise in Golang development services, including a deep understanding of its syntax, advanced features, and standard library
• Familiarity with Go routines and channel patterns, as well as experience in writing high-performance Go code
• Solid grasp of web development fundamentals, including HTTP/HTTPS protocols, RESTful API design, data structures, and WebSockets
• Experience with designing and implementing microservices in Go and an understanding of containerization and orchestration technologies like Docker and Kubernetes

JOB DESCRIPTION:

1) Understand client requirements and functionalities. 

2) Write well-designed, testable, efficient code. 

3) Responsible for solving complex technical issues. 

4) Ensure quality projects are delivered within defined timelines. 

5) Active involvement in client communication to understand functional requirements. 

6) Maintain high standards of quality for code, documentation and other deliverables. 

Required Skills 

1) Good experience in Angular's Latest Versions 

2) Hand on Node.JS./Express JS 

3) Database: MYSQL/MongoDB 

4) Experience in JavaScript, TypeScript. 

5)Good experience in HTML5, CSS3, JavaScript, Jquery 

6) Experience working in an Agile environment. 

7) Good communication skills.

Selected intern's day-to-day responsibilities include:

• Developing and executing marketing strategies that drive sales to business-to-business companies
• Research through web analytics and use keywords for global promotion and generating leads through digital means.
• Plan and execute all web, SEO/SEM, database marketing, email and social media.
• Performing market analysis and research on the latest trends.
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points.
• Identify critical conversion points and drop-off points and optimize user funnels.
• Measure and report the performance of all digital marketing campaigns and assess against goals (ROI and KPIs).
• Update information on our website to boost rankings.
• Researching and evaluating competitor marketing and digital content.
• Brainstorm new and creative growth strategies through digital marketing.
• Plan, execute, and measure experiments and conversion tests.

• Bachelors in Computer Science, Information Systems or equivalent.
• 6 years experience delivering highly available web/mobile applications including 1-3 years as Senior/Lead developer.
• Prior experience in retail domain is a plus.
• 3 years of experience working with distributed teams.
• Deep knowledge of UI Libraries / Frameworks, API (REST), API Management and building scalable and high performance Web APIs.
• Must have experience building websites using Javascript and Java technologies (e.g. Typescript, Spring Boot etc.). Search Engine and Native App development experience is a plus.
• AWS Serverless Cloud native services experience with Lambda functions, SNS, SQS, DynamoDB, API Gateway etc.
• Strong knowledge of Caching frameworks, data structures, algorithms, operating systems, and distributed systems.
• Strong understanding of databases, NoSQL data stores, storage and distributed persistence technologies.
• Strong communication and presentation skills.
• Passionate about enabling next generation experiences.
• Experience with automated testing, deployment pipelines and cloud based infrastructure

• Develop omni-channel digital solutions leveraging serverless and micro services in a cloud based platform to develop backend services.
• Design high/low level solutions, contribute towards architecture and technical roadmap.
• Lead technical implementation/delivery.
• Host/Lead technical discussions.
• Champion software development best practices, test driven development, CI and CD.
• Build cloud native and highly cost efficient solutions.
• Innovate, Unlearn and Disrupt. Research next generation frameworks and technologies.
• Embrace change. 

• Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
• Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. 
• Designing and implementing data engineering, ingestion, and transformation functions

• Experience with Azure Analysis Services
• Experience in Power BI
• Experience with third-party solutions like Attunity/Stream sets, Informatica
• Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
• Capacity Planning and Performance Tuning on Azure Stack and Spark.