Content Writer

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

·         Design, Develop, and Implement Integration solutions using Oracle Integration cloud (OIC) to connect various applications, Systems, and Services

·         Customize and configure OIC adapters, connectors, and Components to meet specific integration requirements.

·         Develop RESTful and SOAP Webservices for data exchange and communication between different systems.

·         Good Knowledge in Cloud technologies (Lamda function in AWS etc for integration with AWS)

·         Collaborate with Business analysists and stakeholders to gather requirements and define integration workflows and data flows.

·         Perform troubleshooting, debugging and performance tuning of integration solutions to ensure optimal performance and reliability.

·         Develop and maintain documentation for integration processes, interfaces and configurations.

·         Perform Code reviews .

·         Ensure adherence to coding standards , development methodologies and security protocols throughout the software development lifecycle.

Personnel Specification

Education: Bachelor’s degree in computer science, Information Technology or related field

Experience:

• 5 or more years of experience in IT industry.

• Experience in Cloud based integration Platform.

Skills and Abilities:

·         Proven experience in designing, developing, and implementing integration solutions using OIC

·         Strong understanding of RESTful and SOAP web services, JSON, and other data formats.

·         Experience in cloud based integration platforms, writing Lamda function and creating integrations with various channels.

·         Strong Knowledge in OIC API Integration.

·         strong understanding on SOAP based services and Rest bases services.

·         Strong development skills in JAVA

·         Strong knowledge on Authentication methodologies to be followed during the integration platforms.

·         Strong Knowledge in OIC GEN2 and GEN3

🚀 Hiring: SAP Vistex Consultant

📍 Locations: Pune | Mumbai | Bangalore | Gandhinagar

🧠 Experience: 6+ years in SAP Vistex

🏢 Company: Synexc (Hiring for Capgemini)

✅ Requirements:

• Minimum 6 years of hands-on experience in SAP Vistex
• Expertise in Incentive Management, Rebates, Chargebacks, and Claims Processing
• Strong integration experience with SAP SD/MM
• Should have done at least 1 full-cycle implementation
• Good understanding of Vistex modules like Deal Management, Pricing, and Contract Setup
• Support & Enhancement project experience preferred
• Excellent communication skills and ability to interact with clients

·      7+ years of professional experience in front-end development.

·      7+ years of hands-on experience with React.js and its ecosystem (Redux, Context API, Hooks, etc.).

·      Strong understanding of JavaScript (ES6+), HTML5, and CSS3.

·      Experience with RESTful APIs, GraphQL, and WebSocket integration.

·      Proficiency in modern build tools (Webpack, Vite, Babel, etc.).

·      Expertise in state management libraries (Redux, MobX) and React Query.

·      Solid understanding of UI/UX principles and responsive design.

·      Experience with testing frameworks (Jest, React Testing Library, Cypress, etc.).

·      Familiarity with modern CI/CD pipelines and version control tools (Git).

Company Name- uFaber Edutech Pvt Ltd.

Shift Timing/ Day- 10:30am-7:30pm/ Mon-Sat working.

Website - www.ufaber.com Who are weuFaber is a well-funded Edutech startup, founded by serial entrepreneurs from IIT Bombay to change the way we learn. We sell high-quality online courses on a variety of topics, from exam preparation to certifications.

Role and Responsibilities-

 Dialing 50-80+ calls and counselling students who have enquired about the product/ services.

 Scheduling free demo lectures for the students.

 Doing post demo calls and closing sales.

 Maintaining a pipeline of all sales administration using CRM software.  Work on targets and under pressure as this is a hardcore sales profile.

 Flexible to work on additional days and hours

Requirements

• 3.5+ years of experience in React JS and Redux
• Expert in React.j, ideally using TypeScript language extensions
• Good understanding of JavaScript Design Patterns
• Good experience writing front-end test cases
• HTML5, CSS3 and Responsive web design are mandatory
• Exposure to Scrum methodology and XP technical practices such as unit testing, pair programming, test-driven development, continuous integration or continuous delivery
• Self-motivated, fast learner, detail-oriented, team player and a sense of humour