Social Media Marketer

Job Description :

Position Name : CUDA Developer

Experience : 5+ Years

Opportunity : Full-time, 8 hours/day (4-hour overlap with PST)

Notice Period : Immediate

Summary :

We are looking for an experienced CUDA (Compute Unified Device Architecture) Developer with strong expertise in parallel computing and performance optimization.

Responsibilities :

• Optimize and debug CUDA applications for high performance.
• Improve algorithm efficiency through effective parallelization.
• Stay updated with the latest CUDA advancements.

Requirements :

• Experience : 5+ Years in Software Development, including 3+ Years in CUDA and 5+ Years in C++.
• Technical Skills : Proficiency in C/C++, CUDA (12.0+ preferred), cuBLAS, cuDNN, and performance tuning.
• Other Skills : Strong problem-solving, teamwork, and communication skills.

Role & Responsibilities

We are seeking a Lead Visual Designer – Design Systems to own the visual language, brand expression, and UI consistency across our products and platforms. This role defines how our brand shows up at scale—across interfaces, products, and touchpoints.

You will be the steward of aesthetic coherence, craft excellence, and visual scalability.

Key Responsibilities-

Visual System Ownership:

• Lead the creation and evolution of a robust visual design system
• Define typography, color systems, iconography, spacing, motion principles, and theming
• Ensure pixel-perfect execution across platforms (web, mobile, emerging surfaces)

Brand × Product Integration:

• Translate brand principles into usable, flexible UI systems
• Maintain consistency between marketing, brand, and product experiences
• Ensure the system supports localization, accessibility, and scalability

Design Craft Leadership:

• Set the bar for visual quality, polish, and attention to detail
• Conduct visual reviews and mentor designers on craft and system usage
• Push teams from “acceptable” to exceptional design quality

Cross-Functional Collaboration:

• Work closely with UX Design Leads to align visual expression with interaction logic
• Partner with Engineering to ensure accurate implementation of visual specs
• Contribute to design ops: documentation, governance, and contribution models

Ideal Candidate

• Strong Product Designer Profile, with good exposure to Design systems
• Mandatory (Experience 1): Must have 6+ YOE in Product / Visual / UI Design, with Top / large scale Products
• Mandatory (Experience 2): Must have hands-on experience translating brand principles into scalable UI systems — covering typography, color, iconography, spacing, motion, and theming.
• Mandatory (Skill 1): Must have deep expertise in creating and evolving design systems that ensure pixel-perfect execution across web, mobile, and emerging platforms.
• Mandatory (Skill 2 ): Must have strong command of typography, layout, color theory, and visual hierarchy with an obsessive attention to detail and polish.
• Mandatory (Skill 3): Must have experience maintaining visual consistency between marketing, brand, and product experiences — supporting localization, accessibility, and scalability.
• Mandatory (Tools): Must have mastery of Figma, design tokens, and component-driven UI workflows.
• Mandatory (Stakeholder Mgmt): Must have strong cross-functional collaboration skills — partnering with UX Design Leads, Engineering, and distributed global stakeholders to ensure accurate implementation of visual specs.
• Mandatory (Portfolio): Must have a strong portfolio of Product / UI Design works for large-scale products — showcasing detailed Design systems, Case-studies, and brand-to-product translation.
• Mandatory (Education): Must have a formal design education — degree or diploma from a recognized design school/institute.
• Preferred (Company): Experience in design-mature organizations — global tech, consumer platforms, or design-led consulting environments.

Role & Responsibilities

We are seeking a seasoned Solution Architect to design and lead AI infrastructure and private cloud initiatives. This role focuses on building scalable, high-performance environments to support AI/ML workloads, data platforms, and enterprise applications. The ideal candidate will have deep expertise in private cloud architectures, GPU-based computing, and modern data center technologies, along with the ability to align infrastructure strategy with business and AI innovation goals.

Key Responsibilities-

• Architect and design AI-ready infrastructure platforms, including GPU clusters, high-performance computing (HPC), and storage systems
• Define and implement private cloud solutions using technologies such as OpenStack and VMware
• Design scalable environments for AI/ML workloads, including training and inference pipelines
• Collaborate with data scientists, platform engineers, and infrastructure teams to translate AI requirements into infrastructure solutions
• Drive infrastructure modernization initiatives, including containerization and orchestration using Kubernetes
• Ensure high availability, performance, scalability, and security of AI platforms
• Design storage solutions optimized for AI workloads (e.g., distributed file systems, object storage)
• Implement networking architectures for high-throughput, low-latency data transfer
• Define automation strategies using Infrastructure as Code (IaC) and configuration management tools
• Establish governance, standards, and best practices for AI infrastructure and private cloud environments
• Evaluate emerging technologies and recommend solutions aligned with enterprise strategy
• Provide technical leadership and guidance across architecture, design, and implementation phases

Ideal Candidate

• Strong Solution Architect – AI Infrastructure & Private Cloud profiles
• Mandatory (Experience 1) – Must have 8+years of experience in IT infrastructure, cloud, or data center architecture roles
• Mandatory (Experience 2) – Must have strong expertise in private cloud and virtualization (OpenStack, VMware vSphere) along with solid knowledge of Linux, networking, and storage architectures.
• Mandatory (Experience 3) – Must have hands-on experience designing AI/ML infrastructure, including GPU-based systems (e.g., NVIDIA platforms), HPC, and AI-optimized storage
• Mandatory (Experience 4) – Must have strong experience with containerization and orchestration (Docker, Kubernetes) and IaC/automation tools (Terraform, Ansible)
• Mandatory (Experience 5) – Must have experience designing scalable AI/ML environments for training/inference pipelines, with high-throughput, low-latency networking and distributed storage
• Mandatory (Experience 6) – Must have familiarity with hybrid cloud integration (AWS, Azure, or GCP) and proven ability to lead architecture design with strong stakeholder management.
• Mandatory (Skill) – Must have familiarity with hybrid cloud integration involving AWS, Azure, or GCP.
• Preferred (Skill 1) – Certifications in cloud (AWS/Azure/GCP), Kubernetes, or VMware/OpenStack, along with experience in MLOps platforms and AI lifecycle management
• Preferred (Skill 2) – Knowledge of high-performance networking (InfiniBand, RDMA) and exposure to data lake architectures and big data platforms
• Preferred (Skill 3) – Experience in large-scale enterprise or hyperscale environments.

• Strong Outbound Sales profile with B2B Saas or ERP-Tech Sales experience
• Mandatory (Experience 1): 1+ YOE in B2B SaaS / Tech Sales experience as an SDR
• Mandatory (Experience 2): Must have strong experience in Lead Generation & Outbound Calls
• Mandatory (Experience 3): Hands-on experience outbound experience using email, LinkedIn, cold calls, and WhatsApp.
• Mandatory (Tools): Proficient in using CRM systems like HubSpot and LinkedIn Sales Navigator.
• Mandatory (Company) - B2B SaaS Products OR IT/Tech Services companies

Preferred

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

• Extensive experience in designing, building & supporting Azure Managed Services Operations.
• Good understanding of Azure IaaS and PaaS services (Azure VMs, App Service, VM Scale set, Storage, Web App, Function App, Logic App, SQL instance, Data factory, Key vault, API management service etc.).
• Good understanding of Azure networking, vNet, NSG, various load balancing services, VPN, Express Route and firewalls in cloud environment.
• Knowledge on Cloud Adoption Framework.
• Hands on Experience in migration of various workloads to Azure from on-prem sources like VMware, Hyper-V, Physical Servers and from other Clouds.
• Knowledge of Azure Backups and ASR (Azure Site Recovery).
• Strong Knowledge on Containerization and Orchestration (Docker, Kubernetes, AKS).
• Powershell Scripting, Azure CLI, ARM templates writing, setup automation for resources provisioning and other IaC tools like terraform, Ansible is an added advantage.
• Knowledge on Azure automation and Automation Desire State Configuration.
• Knowledge on Azure Devops or GIT Actions on CI/CD pipeline configuration.
• Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems.
• Aspire to learn and be able to pick up latest technical advances in Azure and be able to implement it.
• Certificate on Azure Administrator & Azure Architect has added advantage.

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly responsive user interface components using react concepts.
• Writing application interface codes using JavaScript following react.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

What you need to have:

• Architect new systems and improve existing ones by instrumenting best practices and technologies.
• Identify and build automated tools for release management, deployment, monitoring and reporting
• Identity and implement latest technologies and frameworks for application system stack, deployments, automation, capacity management, resource orchestration and availability.
• Responsible for fixing support escalation cases and conducting post-incident reviews / Root Cause Analysis.