Social media intern

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.

Deliver engaging classroom and/or online training sessions on topics including:

Python for Data Science Data Analytics using Excel and SQL

Statistics and Probability

Machine Learning and Deep Learning

Data Visualization using Power BI / Tableau

Create and update course materials, projects, assignments, and quizzes.

Provide hands-on training and real-world project guidance.

Evaluate student performance, provide constructive feedback, and track progress.

Stay updated with the latest trends, tools, and technologies in Data Science.

Mentor students during capstone projects and industry case studies.

Coordinate with the academic and operations team for batch planning and feedback.

Assist with the development of new courses and curriculum as needed.

1.Performance marketing and its budgeting

2. ATL-BTL Marketing exposure

3.Should have hands on experience in Influencer Marketing (Meta)

4.Candidates from D2C space only will be considered

Key Responsibilities:

• Develop and maintain scalable Python applications for AI/ML projects.
• Design, train, and evaluate machine learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Collaborate with data scientists, ML engineers, and software developers to integrate models into production systems.
• Optimize model performance and ensure low-latency inference in real-time environments.
• Work with large datasets to perform data cleaning, feature engineering, and data transformation.
• Stay current with new developments in machine learning frameworks and Python libraries.
• Write clean, testable, and efficient code following best practices.
• Develop RESTful APIs and deploy ML models via cloud or container-based solutions (e.g., AWS, Docker, Kubernetes).

Share Cv to

Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

PREFERRED QUALIFICATION AND SKILLS:

• In depth knowledge of HTML5 • In depth knowledge of CSS3 (Less, Sass, Stylus is a plus), knowledge of BEM methodology is preferred

• Detailed knowledge of JavaScript (ES2015 is a plus) is a must

• Good knowledge of Node.js & npm

• Gulp or Grunt experience is a plus • Experience with Atomic design paradigm is a plus

• Experience in any JS framework(Angular, React + Redux, Vue, etc.,) is must

• Understanding of Web Accessibility WCAG guidelines.

• Must be able to mentor and guide junior technical resources.

• One who is proactive and come forward with technology related initiatives. Motivated selfstarter.

 • Good Communication skills. English - Oral and Written.

What you need to have:

 Android Developer who possesses a passion for pushing mobile technologies to the limits.  Android app developer will work with our team of talented engineers to design and build the next generation of our mobile applications for our Banking Products. Android programming works closely with other app development and technical teams.

• Design and build advanced applications for the Android platform
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

• Proven software development experience and Android skills development
• Proven working experience in Android app development and
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle.

• Java/J2EE, Spring, Spring Boot, REST, JSON, Micro Services, 12 Factor Apps, Apache.
• Strong understanding of microservice architecture
• Ability to design, develop and implement scalable, elastic microservice based platforms.
• Demonstrated knowledge of OAuth token-based authentication protocol.
• Demonstrated knowledge of PCI and Security Coding Standards.
• Performs hands on coding using Java/J2EE & unit testing.
• Contribute to the Design and develop high quality software for large scale Java/Spring Batch/Micro-service Applications.
• Proficiency in the following general areas: Java (Java 1. 7/Java 1. 8), Spring Framework, Jenkins, Gradle, and GitHub.
• Experience with RESTful services, Rabbit MQ, JSON, Unix Scripting, and Hadoop is a plus.
• Core development experience in large scale enterprise Java applications using Spring Framework.
• Experience in SQL (DB2 & SQL databases)
• Strong knowledge and experience on Nginx as APIM tool Solid experience in coding and creating APIs.
•  Expertise in WSDL, XML, XSLT, JSON, XPATH and Gateway scripts
• Provide front line support for Nginx related problems by being involved in troubleshooting, root cause analysis and appropriate secure integration recommendations.
• Installation of Nginx API Gateway as per need.
• Experience in Containers and Kubernetes.
• Good linux and administration skills
• Experience on API Orchestration/Mediation/Protocol Bindings and transformation knowledge on disparate message structures
• Design, develop and implement API proxies using OpenAPI specification Analysing logs and trace for errors and exceptions Manage and publish content in Developer portal Security implementation using OAUTH, SAML, CORS 
• Must Have Knowledge of API development and its technologies.

Location: Remote Working

** Preference will be given to immediate joinee