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At Meru Data, we’re seeking an experienced Azure cloud engineer who has expertise in the strategy, design, development, and implementation of large-scale projects in the cloud. The ideal candidate will have a firm grasp of emerging technologies, platforms, and applications and an ability to customize them to help our business become more secure and efficient. Extensive knowledge of cloud maintenance, experience in managing staff, and advanced industry knowledge are essential to keep us on the cutting edge.

Objectives of this role

• Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance
• Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies
• Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
• Manage cloud environments in accordance with company security guidelines

Responsibilities

• Develop and implement technical efforts to design, build, and deploy Azure applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics
• Participate in all aspects of the software development lifecycle for Azure solutions, including planning, requirements, development, testing, and quality assurance
• Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures
• Educate teams on the implementation of new cloud-based initiatives, providing associated training when necessary
• Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity

Required skills and qualifications

• Three or more years of experience in architecting, designing, developing, and implementing cloud solutions on Azure platforms

Preferred skills and qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics
• Knowledge of web services, API, REST, and RPC
• Azure certification

Description:

We are looking for a highly motivated Full Stack Backend Software Intern to join our team. The ideal candidate should have a strong interest in AI, LLM (Large Language Models), and related technologies, along with the ability to work independently and complete tasks with minimal supervision.

Responsibilities:

• Research and gather requirements for backend software projects.
• Develop, test, and maintain backend components of web applications.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Optimize applications for maximum speed and scalability.
• Implement security and data protection measures.
• Stay up-to-date with emerging technologies and industry trends.
• Complete tasks with minimal hand-holding and supervision.
• Assist with frontend tasks using JavaScript and React if required.

Requirements:

• Proficiency in backend development languages such as Python or Node.js
• Familiarity with frontend technologies like HTML, CSS, JavaScript, and React.
• Experience with relational and non-relational databases.
• Understanding of RESTful APIs and microservices architecture.
• Knowledge of AI, LLM, and related technologies is a plus.
• Ability to work independently and complete tasks with minimal supervision.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Currently pursuing or recently completed a degree in Computer Science or related field.

Benefits:

• Opportunity to work on cutting-edge technologies in AI and LLM.
• Hands-on experience in developing backend systems for web applications.
• Mentorship from experienced developers and engineers.
• Flexible working hours and a supportive work environment.
• Possibility of a full-time position based on performance.
• 
  

If you are passionate about backend development, AI, and LLM, and are eager to learn and grow in a dynamic environment, we would love to hear from you. Apply now to join our team as a Full Stack Backend Software Intern.

Job Responsibilities:

Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support

Skills Required:

DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.

Pre-requisites for the Role

1.Job ID-EMQAM0120PS

1. Primary Skills:

• Quality Engineering / Test Automation
• Deep understanding of software engineering fundamentals
• Experience in testing web app - UI, API
• Knows REST API automation
• Experience working in Linux/Unix environment
• Good to have scripting languages (Shell Scripting, Perl)
• Basic Knowledge of SQL
• Outstanding problem solving and debugging skills
• Candidate has worked on Microservices architecture

1. Secondary Skills:

Work closely with product manager and developer to understand product

requirements and design.

• Design and execute manual test cases - End2End testing, functional

testing, UI testing, regression testing, Integration testing.

• Coordinate with the developer, product manager, and other business

stakeholders on test case review, identify missing and complex test case

scenarios.

• Raise bug for test case failure, Publish test report,
• Analyze server logs, DB and provide other relevant details with a bug

4.Years of Experience: 5-8 Years

1. Location:(Hybrid)-Bangalore, Hyderabad and Gurgoan
2. Position-1
3. Budget-24 LPA
4. NP- Immediate-15 Days

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler