11+ Clustering Jobs in Delhi, NCR and Gurgaon | Clustering Job openings in Delhi, NCR and Gurgaon

·     IMMEDIATE JOINER

Professional Experience with 5+ years in Confluent Kafka Admin

·    Demonstrated experience design / development.

·    Must have proven knowledge and practical application of – Confluent Kafka (Producers/ Consumers / Kafka Connectors / Kafka Stream/ksqlDB/Schema Registry)

·    Experience in performance optimization of consumers, producers.

·    Good experience debugging issues related offset, consumer lag, partitions.

·    Experience with Administrative tasks on Confluent Kafka.

·    Kafka admin experience including but not limited to setup new Kafka cluster, create topics, grant permissions, offset reset, purge data, setup connectors, setup replicator task, troubleshooting issues, Monitor Kafka cluster health and performance, backup and recovery.

·    Experience in implementing security measures for Kafka clusters, including access controls and encryption, to protect sensitive data.

·    Install/Upgrade Kafka cluster techniques.

·    Good experience with writing unit tests using Junit and Mockito

·    Have experience with working in client facing project.

·    Exposure to any cloud environment like AZURE is added advantage.

·    Experience in developing or working on REST Microservices

Experience in Java, Springboot is a plus

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Review Criteria:

Mandatory:

• Strong Ad Operations Profiles
• 1+ years of hands-on experience in Digital Ad Operations or Programmatic Advertising.
• Practical exposure to DSPs and DV360 for campaign setup, execution, optimization, and reporting.
• Strong understanding of LinkedIn, Meta, and Facebook Ads platforms; ability to coordinate campaign execution per media team plan.
• Proficiency in DoubleClick Campaign Manager (DCM) or similar 3rd-party ad servers for trafficking and tag management.
• Ability to perform QA testing of creative assets, troubleshoot delivery issues, and ensure tracking accuracy.
• Skilled in Excel-based reporting, reconciliation, and campaign data analysis.
• Must have worked in a digital media agency or AdTech environment executing live campaigns.

Preferred:

• Exposure to programmatic buying, audience targeting, and optimization strategies.

Role & Responsibilities:

We are looking for ad operations who will be responsible for the success of the advertising campaigns. This includes accurate building, testing and assignment of advertisements using various ad technologies. This person will also assist in providing support and coverage to global advertising teams as well as ensuring accuracy and security of all ad units.

Key Responsibilities-

Campaign Set-Up and Execution:

• Manage the set-up and execution of advertising campaigns, including generating and testing ad tags for campaign launches.
• Ensure seamless campaign deployment by completing quality assurance and testing of creative assets to verify proper functionality across various browsers.

Technical Adherence and Issue Resolution:

• Ensure that ad creative adheres to technical specifications and promptly troubleshoot any creative issues that may impact implementation, tracking, or reporting.
• Collaborate with internal stakeholders to guarantee the proper set-up and deployment of campaigns, fostering effective communication and alignment.

Collaboration and Reporting:

• Work closely with the Customer Success (CS) team to ensure accurate reporting, optimization, and fulfilment of campaign delivery, facilitating smooth communication and collaboration between teams.
• Maintain meticulous records of creative assets and internal documents related to proposals and campaign execution, ensuring organizational transparency and accountability.

Reconciliation and Optimization:

• Perform reconciliations between media plans and third-party ad delivery platforms to ensure alignment and accuracy.
• Identify opportunities to implement solutions that enhance effectiveness and efficiency in ad operations processes, driving continuous improvement.

Quality Assurance and Testing:

• Conduct thorough quality assurance and testing of creative assets to ensure proper functionality across various browsers and platforms.

Stakeholder Communication:

• Communicate effectively with internal stakeholders to ensure the proper set-up and deployment of campaigns, maintaining alignment with project timelines and objectives.

Ideal Candidate:

• Any bachelor’s degree, Postgraduate or equivalent.
• Minimum Experience 1+ years in the same domain preferably in digital trafficking at a media agency
• Deep understanding of DoubleClick Campaign Manager (experience with other 3rd party ad servers a plus).
• Comfort with Microsoft Excel and ability to consolidate information and work with multiple data points.
• Working on platform like DV360 & DSP mandatory.

Perks, Benefits and Work Culture:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Computer Engineering Graduates interested in IT Management consulting, Implementing & customer success management.

We, consult, Implement, and support, Manage Engine IT Management Tools from ZOHO Corporation. These tools help Enterprises Manage IT in their Enterprise, to manage Devices, Servers & networks, IT helpdesk, Assets, with about 70+ tools that are Industry best. https://www.manageengine.com/products.html">https://www.manageengine.com/products.html  
Job Desctiption 

• Learning will be by self based on  provided Online links, u-tubes , literature etc. Senior personnel would be available for some guidance.
• They would then be consulting with customers ( typically Govt., PSU,SME and corporates in Delhi NCR) to showcase how these solutions could enhance productivity, performance, security of businesses
• Aid implementation of the solutions at client site
• Ensure client comfort and ease of use of deployed solutions
• Compare and upsell complementary solutions to those already existing at client locations
• NO CODING will be required in the job profile

Position Description:

Our sales professionals focus on face to face sales presentations as they provide our clients an

opportunity to know IndiaMART & value addition IndiaMART can bring to their respective business.

This position allows you to build new clients for the organization, build rapport and trust in both yourself and the company. Our top sales professionals are passionate and driven in order to produce top results, all the while maintaining integrity.

The job encompasses complete P&L responsibility of a Branch comprising of 20-30 people. He shall be responsible to plan, execute and monitor the sales operations with the objective of attaining accelerated growth of new client acquisition in line with the laid down processes. The role will involve recruiting & managing direct sales force in the Branch, increasing the productivity level & overall efficiency of the sales team and ensuring target achievement as per the defined targets.

Job Summary:

• Monitoring and analysis of key data of the region allocated including sales figures, sales personnel, productivity ratios, client’s work status and receivables.
• Accurately forecasts weekly, monthly, quarterly and yearly revenue streams.
• Identifying the opportunity & problem areas, preparing the action plan for achieving the key
• sales figures and presenting the Branch Sales reports. Actively driving and ensuring sale target
• achievement, management of sales support function and timely work completion of customers.
• Recruit, develop & ensure Retention of respective team by formulating their development plans, meeting their training needs and communicating with them on a regular basis.
• Record performance metrics and monitoring key parameters to increase the overall productivity of the sales personnel.
• Drive performance incentive structure and sales promotion schemes.
• Collecting market feedback and provide periodic updates to the management for formulation of policy & strategy.
• To penetrate all targeted accounts and originate sales opportunities for the company’s products and services.
• To set up and deliver sales presentations, product/service demonstrations on daily basis with his/her team.
• To ensure systematic follow-up with the client organizations to take the sales pitch to timebound closure.
• To ensure that all payments are collected as per the company’s payment terms.
• Ensure adherence to sales processes and requirements.
• Conduct performance review for his/her team on regular basis.