11+ GPU computing Jobs in Chennai | GPU computing Job openings in Chennai

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

• Job Description:      

• Team Leading experience upto 2 years

• Extensive experience in Appian BPM application development
• Knowledge of Appian architecture and its objects best practices
• Participate in analysis, design, and new development of Appian based applications
• Mandatory Team leadership and provide technical leadership to Scrum teams Certification Mandatory- L1, L2 or L3
• Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced by team
• Build applications: interfaces, process flows, expressions, data types, sites, integrations,
• Proficient with SQL queries and with accessing data present in DB tables and views
• Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart services, integration services and web services
• Experience working with different Appian Object types, query rules, constant rules and expression rules

Qualifications

• At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
• Over 8 years in Implementing IT solutions using BPM or integration technologies
• Experience in Scrum/Agile methodologies with Enterprise level application development projects
• Good understanding of database concepts and strong working knowledge any one of the major databases e g Oracle SQL Server MySQL

• Appian BPM application development on version 19.x or higher
• Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
• Good leadership skills and the ability to lead a team of software engineers technically
• Experience working in Agile Scrum teams
• Good Communication skills

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

About Klenty

Klenty is a Software Product company operating in the Sales Engagement category.

One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.

Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.

With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force

Join us in building the future of sales engagement software

Our project entails implementing our pre-approved UI, constructing our API, connecting the two, and setting up our server infrastructure. This includes all associated areas such as database and architecture design.

Roles and Resposibilities

• Design and implementation of the overall web architecture.

• Flawless implementation of our approved user interface.

• Design and deployment of our database used in online and offline executions and construction of our REST API.

• Integrating with third-party APIs and existing frameworks.

• Design and implementation of continuous integration and deployment.

• Providing improvements to the product being supported.

• Actively participated in release and sprint planning, artifact creation, sprint testing, regression testing, demonstrations, retrospectives, and solution releases.

• Developing and adhering to best practices for developing applications and continuously contributing to team performance improvement and collaboration.

• Design, code, test, debug, maintain, and document programs.

• Writing unit tests to continually improve the quality of our ability to introduce features at a rapid pace.

• Programming, updating, and managing server-side code.

• Working closely with other developers to maintain structured code.

• Continuously improve the tribe’s services to achieve technical excellence and pay off the technical debt over time.

Required Skills

• At least 3 years of experience with: Relevant back-end programming

• in NodeJS, ReactJS, ExpressJS, JavaScript

• Database design and management, including being up on the latest practices and associated versions.

• Server management and deployment for the relevant environment

• Familiarity with a relevant and globally supported framework—both front-end and back-end.

• Ideally, familiarity with CSS pre-processors, bundlers, and associated languages/syntaxes/libraries

• Thorough understanding of user experience and possibly even product strategy.

• Experience implementing testing platforms and unit tests

• Proficiency with Git

• Experience with agile and/or DevOps processes and tools (e.g., JIRA,) Ability to translate software requirements into working and maintainable solutions within the existing application frameworks.

• Excellent knowledge of relational databases. Excellent skills in DB schema design.

Skills:- MongoDB, Express, React.js, NodeJS (Node.js), Amazon Web Services (AWS), Javascript, CI/CD, Redis, Elastic Search and Heroku

Industry

Information Services

Employment Type

Full-time

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

We’re looking for a highly skilled customer service representative to join our team, managing inbound and outbound phone calls, email requests, and face to face interaction with a friendly, helpful approach. The ideal candidate is a quick learner who can think on their feet and resolve any issues that come up with our customer-first business mentality. He or she is also experienced with sales, as the opportunity to promote company products and services may arise. The most successful representatives have the communication and interpersonal skills needed to provide support, answer questions, and resolve issues in an efficient manner. Serving as the voice and face of our company, he or she will be integral to reinforcing our reputation for exceptional customer service.

Objectives of this Role

• Manage a large volume of inbound and outbound calls, emails, and chats with knowledge and efficiency
• Identify and address customer needs with a goal of complete satisfaction
• Provide expert answers to questions about products, pricing, and availability, while presenting the value of our portfolio of products to customers
• Meet customer service department sales targets, generating sales leads when opportunities arise

Skills and Qualifications

• Successful experience in a corporate environment
• Strong communication skills, including active listening and clear articulation
• Ability to solve problems and alleviate conflicts or escalate tactifully
• Ability to multitask, manage time, and prioritize
• Able to work individually and as a team