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 Unolo

Unolo is a rapidly growing organization focused on providing innovative solutions to empower companies and their field executives. With an impressive client roster including industry leaders such as Amul, Reliance, Intel, and NoBroker, we are dedicated to delivering cohesive and efficient work experiences. As a dynamic company, we value teamwork, technological excellence, and a passion for problem-solving.

Position Summary

We are seeking an exceptional iOS Developer to join our esteemed team. As a key member of our organization, you will collaborate with existing Android developers to enhance and upgrade our flagship product, Unolo. Your primary responsibility will be to implement new features such as a collections or payments module. Additionally, your expertise will contribute to scaling our customer base and driving revenue growth. This role offers the opportunity to work closely with the founder and be an integral part of our close-knit team.

Responsibilities

• Collaborate with existing iOS developers to enhance and upgrade the Unolo product
• Implement new features, including a collections or payments module
• Contribute to scaling our customer base and driving revenue growth

Requirements

• Minimum of 2 years of professional iOS development experience including experience in Swift.
• Ability to work closely with the founder and contribute to a tight-knit team
• Passion for technology and a strong problem-solving mindset
• Demonstrated ability to work quickly and deliver high-quality results
• This is an in-office position based at our offices in Golf Course Road, Gurugram.

Join us and be a part of our exciting journey as we continue to revolutionize the way companies operate and empower their field executives. Apply now to unleash your potential as a rockstar iOS Developer!

Senior Automation Engineer

Requirements:

Backend: Knowledge of Laravel framework including:

- routing

- middleware

- migration

- ORM Automated tests using Codeception.

Database:

- Postgres

- SQL queries.

- Database performance related tests.

Front End:

- UI automation using Cypress.

- Cross-browser testing.

- Responsive design testing.

CI/CD pipeline:

- Experience with CI/CD tools and workflows such as Github actions

What you need to have:

Role Overview

1. As a Pre-Sales Engineer, you will be responsible for designing and drafting systems for Technical Proposals brought in by the sales team, ensuring that quotes are technically correct before submitting to clients.
2. Preparation of proposal based on the RFP / RFQ docs and Understand the CAD drawing.
3. Generate BOQ, Compliance Statement, system descriptions, schematic drawings, material / technical submittal, system programming such as Crestron, Extron, Bose and other OEM products etc.
4. Provide sales and technical staff with technical support on both a pre- and post-sales basis
5. Communicate and interact with internal employees, clients and colleagues in a professional and timely manner.
6. Conduct or attend a Site visit and Site surveys when needed.
7. Develop and maintain knowledge of current and new technologies that company offers.

Key Skills

• 2+ years of experience required in AV.
• Experience in developing cost-effective solutions around customer needs.
• Good skill for Vendor Management, OEM interaction.
• Proficient in the use of Microsoft Office Suite
• Good Communication skill