
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.

Similar jobs
A VMC Operator is responsible for operating and monitoring Vertical Machining Center (VMC) machines to manufacture precision components as per engineering drawings and production requirements. The role involves setting up workpieces, loading CNC programs, selecting cutting tools, and setting machine parameters to achieve accurate machining results.
The operator reads and interprets technical drawings, performs in-process and final inspections using measuring instruments, and ensures components meet quality standards and tolerances. Responsibilities also include basic CNC programming edits, tool offset setting, machine troubleshooting, routine maintenance, and maintaining a clean and safe work environment.
VMC Operators work closely with production, quality, and maintenance teams to meet production targets while adhering to safety procedures and quality standards.
Key Skills: VMC operation, CNC programming basics, blueprint reading, precision measurement.
Qualifications: ITI / Diploma in Mechanical or related trade; experience in CNC machining preferred.
We are seeking a dynamic and target-driven Academic Counsellor (Sales) to convert student inquiries into enrollments. The role involves counselling prospective students, promoting academic programs, achieving admission targets, and ensuring a high-quality student experience.
Key Responsibilities
- Handle inbound and outbound calls, emails, and walk-ins from prospective students
- Counsel students and parents about courses, curriculum, fees, and career outcomes
- Convert leads into admissions and consistently achieve monthly sales targets
- Follow up with prospects and maintain accurate records in CRM systems
- Explain course benefits, USPs, and value propositions effectively
- Coordinate with marketing and academic teams for lead management
- Participate in admission drives, seminars, webinars, and events
- Handle objections professionally and close sales
- Provide post-enrollment support to ensure student satisfaction
Requirement:
- Bachelor’s degree in any discipline
- Experience:
- 0–1 year (Freshers with sales aptitude can apply)
- 1–4 years experience in education sales, academic counselling, or inside sales preferred
Preferred Attributes
- Experience in ed-tech, coaching institutes, or training organizations
- Willingness to work on weekends or during peak admission periods
- Self-motivated with a positive attitude
Must Have -
a. Background working with Startups
b. Good knowledge of Kubernetes & Docker
c. Background working in Azure
What you’ll be doing
- Ensure that our applications and environments are stable, scalable, secure and performing as expected.
- Proactively engage and work in alignment with cross-functional colleagues to understand their requirements, contributing to and providing suitable supporting solutions.
- Develop and introduce systems to aid and facilitate rapid growth including implementation of deployment policies, designing and implementing new procedures, configuration management and planning of patches and for capacity upgrades
- Observability: ensure suitable levels of monitoring and alerting are in place to keep engineers aware of issues.
- Establish runbooks and procedures to keep outages to a minimum. Jump in before users notice that things are off track, then automate it for the future.
- Automate everything so that nothing is ever done manually in production.
- Identify and mitigate reliability and security risks. Make sure we are prepared for peak times,
- DDoS attacks and fat fingers.
- Troubleshoot issues across the whole stack - software, applications and network.
- Manage individual project priorities, deadlines, and deliverables as part of a self-organizing team.
- Learn and unlearn every day by exchanging knowledge and new insights, conducting constructive code reviews, and participating in retrospectives.
Requirements
- 2+ years extensive experience of Linux server administration include patching, packaging (rpm), performance tuning, networking, user management, and security.
- 2+ years of implementing systems that are highly available, secure, scalable, and self-healingon Azure cloud platform
- Strong understanding of networking, especially in cloud environments along with a good understanding of CICD.
- Prior experience implementing industry standard security best practices, including those recommended by Azure
- Proficiency with Bash, and any high-level scripting language.
- Basic working knowledge of observability stacks like ELK, prometheus, grafana, Signoz etc
- Proficiency with Infrastructure as Code and Infrastructure Testing, preferably using Pulumi/Terraform.
- Hands-on experience in building and administering VMs and Containers using tools such as Docker/Kubernetes.
- Excellent communication skills, spoken as well as written, with a demonstrated ability to articulate technical problems and projects to all stakeholders.
- Work closely with product managers and engineers to design, implement, test and continually improve scalable frontend and backend services.
- Develop products using agile methods and tools.
- Develop commercial grade software that is user friendly and suitable for a global audience.
- Plan, create and execute (manual and automated) tests.
- Be involved and participate in the overall application lifecycle.
- Building reusable code and libraries for future use.
- Staying up to date with current technologies and providing insights on cutting edge software approaches, architectures, and vendors.
- Fluency in any one of JavaScript, TypeScript or Python.
- Strong problem solving skills.
- Should have built large scalable enterprise applications from scratch.
- Strong experience in architectural patterns, High level designs.
- Experience in Nosql and SQL DBs.
Objectives
- Budget: Management of budget for Hardware Asset Management tools, services and staffing (permanent and temporary)
- Talent management: Permanent, contract, temporary and graduate trainees
- Matrix management: Management of staff with Hardware Asset Management responsibility in other business units
- Lead third-party Hardware Asset Management resources: Supervisory responsibility for third-party resources supporting Hardware Asset Management activity
- Financial: Oversight of spending on technology asset support, which includes hardware, software, cloud services, support, maintenance and hardware disposal
- Environment: Endpoints and edge devices, software and service asset vendors, on-premises data center assets, and cloud services
- Other: Liability management and remediation tracking
The IT asset manager will:
- Ensure that appropriate resources (people, tools, services) and processes are in place to gather and analyze data relating to technology asset life cycles and related processes.
- Promote and advocate the value of Hardware Asset Management to various leaders. This includes developing and promoting effective Hardware Asset Management strategies, policy, approaches and practices across the full range of digital technology assets used within the organization.
- Identify and report on breaches of Hardware Asset Management policy, and track remedial action.
- Report on (or develop reporting on) remediation of digital technology asset-related risks and progress of optimization activity.
- Ensure accurate and timely reporting, and that data completeness and quality issues are quickly identified and escalated to the responsible data or process owners.
- Gather data on and provide analysis of all activities that have an impact on the value, cost and risk of digital technology asset life cycles.
- Provide finance with the data to support the analysis of digital technology asset project and maintenance budgets and business cases.
- Assign responsibilities for sub disciplines, such as IT asset disposition (ITAD).
- Ensure that Hardware Asset Management -related tools and services are properly evaluated, selected, implemented, configured and maintained, with appropriate integration with other sources of organizational data.
- Provide access to technology asset data in support of essential activities required to support the effective running of the business.
- Manage the everyday functions of the core Hardware Asset Management team. This includes staffing, budgeting and other relevant management functions required to hold all IT and business stakeholders accountable for optimizing the cost, risk and benefit of digital technology assets throughout their life cycle.
- Managing the deployment and collection of devices and other hardware assets to the associates or offices.
The IT asset manager acts in a leadership role and must demonstrate the following leadership attributes:
- Strategic thinking — An understanding of strategic business objectives and the ability to develop a vision and strategy for Hardware Asset Management and execute it effectively in order to drive results toward those objectives
- Interpersonal skills — Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated
- Strategic relationship management — Includes working with vendors during compliance audits
- Strategic vision — Ability to sense emerging needs and drive change as Hardware Asset Management develops and matures to meet organizational and technology challenges
The Hardware asset manager must have the following skills:
- Strong communication skills with a proven ability to understand key business and technical concepts, and then effectively communicate these concepts with technical staff, business stakeholders and senior management
- Strong organizational skills, the ability to perform under pressure and to manage multiple priorities with competing demands for resources
- Strong analytical, data processing and problem-solving skills
- Proficiency in process formulation and improvement
- Ability to read and interrupt contracts to properly manage digital technology, which includes license and maintenance agreements
- Ability to manage the deployment and collection of devices and other hardware assets to the associates or offices in a large scale. Demonstrable experience of managing assets in hundreds of thousands will be required.
The Hardware asset manager must have in-depth knowledge and experience of the following:
- Technology asset life cycle (whether digital technology, information, financial or physical assets), best practice governance, tools and services
- Policy, process, and procedure development and implementation
- Technology contracts and their likely cost implications through the technology asset life cycle
- Engagement with sourcing, procurement and vendor management legal, tax and accountancy advisors for additional information
- Data processing, analysis and quality management tools
- Ability to manage effective deployment, collection and disposition of assets and managing the devices through its lifecycle
Additionally, an understanding of IT business continuity, cybersecurity, and integrated risk management and optimization methodologies is highly desirable, along with knowledge of IT management.
The following experience is considered essential:
- A management role, including engagement with sourcing, procurement and vendor management, business stakeholders and frontline operational IT staff
- Prior Hardware Asset Management roles (hardware or software) or demonstrable experience of working with IT asset management professionals to deliver Hardware Asset Management capability and improved business outcomes
- Atleast 16 years of experience with IT, enterprise asset management or information management
- Demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients
- Demonstrated experience in liaising with middle and senior management
- Experience with building business requirements for digital technology tools and services, developing business cases, and selecting solutions using RFP documentation and processes
- Experience leading system or tool implementations, with responsibility for verifying capabilities, outputs, dependencies and implementation scope
- Experience managing deployment, collection and disposition of assets in a large scale with globally distributed workforce.
The following experience is considered desirable, but not mandatory:
- 13+ years of experience working in the working in a large IT/ITeS organization
- 13+ years of experience in managing external IT service providers handling digital technology assets
- Experience with ServiceNow platform
This is a sensitive role dealing with commercial risks and significant costs. The organization must have a high level of confidence in the integrity and track record of the individual appointed to this role.
Certifications
The following certifications are considered desirable, but not mandatory:
- ITIL v3 Foundation certification
- Certified IT Asset Manager
- COBIT 5 Foundation
Education and Training
- An undergraduate or postgraduate degree in finance, IT, engineering, business management or a related field
- Tertiary qualifications in financial accounting, project management or data analysis, or a legal or paralegal qualification that includes contract, copyright or intellectual property law are preferred
Experience: 8+ Years
Work Location: Hyderabad
Mode of work: Work from Office
Senior Data Engineer / Architect
Summary of the Role
The Senior Data Engineer / Architect will be a key role within the data and technology team, responsible for engineering and building data solutions that enable seamless use of data within the organization.
Core Activities
- Work closely with the business teams and business analysts to understand and document data usage requirements
- Develop designs relating to data engineering solutions including data pipelines, ETL, data warehouse, data mart and data lake solutions
- Develop data designs for reporting and other data use requirements
- Develop data governance solutions that provide data governance services including data security, data quality, data lineage etc.
- Lead implementation of data use and data quality solutions
- Provide operational support for users for the implemented data solutions
- Support development of solutions that automate reporting and business intelligence requirements
- Support development of machine learning and AI solution using large scale internal and external datasets
Other activities
- Work on and manage technology projects as and when required
- Provide user and technical training on data solutions
Skills and Experience
- At least 5-8 years of experience in a senior data engineer / architect role
- Strong experience with AWS based data solutions including AWS Redshift, analytics and data governance solutions
- Strong experience with industry standard data governance / data quality solutions
- Strong experience with managing a Postgres SQL data environment
- Background as a software developer working in AWS / Python will be beneficial
- Experience with BI tools like Power BI and Tableau
Strong written and oral communication skills
This profile will include following responsibilities:
- Perform Web Application Security Testing
- Perform Mobile Application Security Testing
- Scan Network for Security Vulnerabilities
- Co-ordinate with the clients for Project related queries
- Undertake meeting with the client teams for discussing security issues and recommendations
- Create detailed security reports
- Keep track of project progress & send regular updates
- Research on Open source security tools & new security topics
- Create Security Knowledge base for the teamThe candidate should be we well versed with application security concepts, including the mitigation techniques:
- Web Application Security – OWASP Top 10
- Mobile Application Security – Mobile OWASP Top 10
- Threat Modelling
- Risk Rating Frameworks
- Web Traffic Interception (For Web/Mobile apps)
- SSL
- Network Concepts
- Web Development Basics - HTTP/HTML/JavaScript
- Basic Mobile Application Concepts (either Android or IOS)
Job Description
POSITION - Tally Developer
QUALIFICATION - Graduate
WORK EXPERIENCE - 3 - 5+ years
LOCATION - Gurgaon
Job Description:
- Candidate with minimum 3 to 5 years of strong experience in Tally Customization Development
- ERP9 TDL program development & implementation
- ERP9 Technical support
- Manage Tally Customization & Tally Integration requirements
Required Skills:
- Tally Definition Language, Excel, XML and Tally
- Tally Integration with other systems / database
- Good knowledge of Finance and accounting with commerce background.
- Good communication skills and customer handling experience
- Experience with other development languages (Asp.Net, MVC, HTML, SQL) is added advantage.
About You:
We are looking for a candidate with 3 years of experience in mobile app development. Must have done at least 4 projects in react native. In this position you’ll be working with technologies like React Native, Redux, RX Observables, Type Script etc.
Skills & Qualifications:
- Good mobile app development experience (3 years)
- Strong knowledge of React Native(2+ years)
- Strong Javascript knowledge
- Strong attention to detail in UX & interactions
- Familiar with different tools Sentry, Bitrise, Hockeyapp, ESLint
- Familiar with Javascript ES6/ES7
- Experience with HTML/CSS(SAAS/LESS)
- Experience integrating REST APIs.
- Good knowledge of Git, Gitlab/bitbucket/Github etc.
- Familiarity with Redux






