Teacher

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.

Top college graduate with experience as Ex-Founder's Office / Ex-founder / Ex-product manager / Ex-Sales / Ex-Customer Success profile

Mandatory (Experience 1): Must have 6–10 years of experience in roles such as Ex-Founder’s Office / Ex-Customer Success / Ex-Sales / Ex-Program / customer-facing Ex-Product profiles

Mandatory (Experience 2): Must have strong strategic thinking and excellent communication skills

Mandatory (Experience 3): Must have direct external customer-facing experience, owning enterprise and/or mid-market customers, across post-sales, solutions, delivery, or customer success charters

Mandatory (Experience 4): Must have worked in startup or operator-style environments — demonstrating hands-on problem solving, building processes from scratch, and driving measurable outcomes across cross-functional teams

Mandatory (Experience 5): Must have managed and led a team of 4+ members, with ownership of outcomes

Mandatory (Experience 6): Must have experience scaling customer-facing functions (1→10 or 1→100 journeys)

Mandatory (Graduation): Only IIT candidates from Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati OR BITS Pilani (Pilani campus)

Mandatory (Graduation Year): Candidates should have graduated in 2018 or before

Mandatory (Compensation): Candidate's current CTC should not be less than 35 LPA

• 3+ years hands-on Azure cloud & automation experience.
• Experience managing high-availability enterprise systems.
• Microsoft Azure (AKS, VNets, App Gateway, Load Balancers).
• Kubernetes (AKS) & Docker.
• Networking (VPN, DNS, routing, firewalls, NSGs).
• Infra-as-Code (Terraform / Bicep optional).
• Monitoring tools: Azure Monitor, Grafana, Prometheus.
• CI/CD: Azure DevOps, GitLab/Jenkins (added advantage).
• Security: Key Vault, certificates, encryption, RBAC.
• Understanding of PostgreSQL/PostGIS networking.
• Design and manage Azure infrastructure (VMs, VNets, NSGs, Load Balancers, AKS, Storage).
• Deploy and maintain AKS workloads for NiFi, PostGIS, and microservices.
• Architect secure network topology including VNet peering, VPNs, Private Endpoints, DNS & Zero Trust policies.
• Implement monitoring and alerting using Azure Monitor, Log Analytics, Grafana & Prometheus.
• Ensure high uptime, DR planning, backup and failover strategies.
• Automate deployments with Azure DevOps, Helm, ArgoCD & GitOps principles.
• Enforce security, RBAC, compliance, and audit standards across environments.
• Good to have knowledge/experince in Linux administration (Ubuntu/Debian).

ROLE SUMMARY:

The Business Analyst is responsible for working with stakeholders to identify and analyze business needs and to develop and support in implementing solutions that support the organization's goals. The role involves gathering and analyzing data, identifying trends and patterns, and creating detailed business requirements for new or improved systems, processes, and products.

QUALIFICATIONS:

• Excellent academic record – B.E./B.Tech IT, CSE/ MCA along with MBA (preferred).
• 3-6 years of experience

ROLES AND RESPONSIBILITIES:

• Responsible for working with stakeholders to identify and analyze business needs and to develop and support in implementing solutions.
• Ability to use data processing tools for data transformation. Gathering and Analyzing data, identifying trends and patterns
• Develop detailed business requirements for new or improved systems, processes, and products while you collaborate with development teams to ensure that solutions meet business requirements.
• Monitor and report on the progress of projects along with managing testing and deployment. Also provide training and support to end users.
• Solid technical background with understanding and/or hands-on experience in software development and web technologies and staying up to date with industry trends and best practices.
• Aim to align your knowledge against BABoK and certification aspirations (ECBA, CCBA or CBAP)

COMPETENCIES:

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Experience with data analysis tools and methodologies.
• Good Understanding of project management skills.
• Experience with Agile development methodologies is a plus.

LOCATION:

All roles at Byteridge are Work from Home except in cases where Clients may ask you to work at their location or in cases where performance issues are identified. If you are asked by the Client to work in a location other than our base locations (Hyderabad, Chennai, Bangalore & Delhi) you may claim an extra reimbursement as per policy

Skills Required :

-Bachelor or Masters degree in Accounting

-Recent accounting experience with E-Commerce Industry

-Excellent analytical, oral, and written communication skills are required

-Concern for high-quality deliverables and deadlines

-Advanced Microsoft Excel skills

-Ability to work independently as well as in a team setting.

-Having experience in accounting, GST Return filing, TDS, Income Tax return filing, finalization of Accounts, Balance Sheet Preparation, Handling multiple clients data, etc.

Recent accounting experience with E-Commerce Industry

Advanced Microsoft Excel skills

Age: 25 – 30 yrs.

Job Scope

• Requirements Gathering & Designing: Liaison with SMEs to understand their Business Requirements and advise them on efficient system solutions. If required, guide the clients in re-engineering their Business Processes. Also, educate them on alternatives for system design & advice on how to achieve desired business outcomes.
• Implementation: Configure and Test SAP SuccessFactors modules
• Data Migration:  Perform/Support Data Migration as required
• Client Engagement: Set up relevant data within the configured SAP SuccessFactors module, to showcase to the client the end-to-end business process. Collect & process the feedback from Clients, to make necessary system changes. Also, extend extensive support to Clients when they test SAP SuccessFactors modules
• Training: Educate clients on how to use SAP SuccessFactors modules
• Documentation: Diligently document Business Requirements to baseline for implementation. Prepare training materials & other documents required for the successful completion of the project. 
• Support: Post implementation, understand the requirements/issues of the client and provide necessary technical solutions. This could include fixing issues and/or implementing new features based on business needs.

Technical:

• Strong knowledge of HTML, CSS & Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Experience in JavaScript Frontend Framework/Library (ie ReactJS, gatsbyjs, AngularJS, Vue.js)
• Experience in JavaScript Backend Framework/Library (ie Node.js, Express.js)
• Experience with Popular React.js Workflows (i.e. Flux or Redux)
• Familiar with JavaScript Standard ECMAScript (or ES)
• Knowledge of secure authorization mechanisms, i.e. JSON Web Token
• Familiarity with modern front-end build pipelines and tools (i.e. NPM or Yarn, Gulp or Grunt)
• Experience with common front-end development tools such as Babel, Webpack, etc.
• A knack for benchmarking and optimization
• Understanding of server-side CSS pre-processors such as Stylus, Less
• ORM Knowledge (i.e. Sequelize or Mongoose)
• Knowledge of isomorphic React is a plus
• Familiarity with Firebase, MongoDB, MySQL, PostgreSQL Database
• Understanding of RPC, REST and GraphQL
• Familiarity with Version Control such as GitHub, BitBucket