AWS Data Engineer

We are hiring a skilled SAP S/4HANA SD Functional Consultant with expertise in Pricing, Credit Management, and Advance scenarios for full-time positions based in Bangalore, Hyderabad, Pune, and Coimbatore. The ideal candidate should have hands-on experience in both SAP ECC and S/4HANA environments, with at least one end-to-end S/4HANA implementation under their belt.

Key Responsibilities:

• Manage and deliver SAP SD configurations and implementations, with a strong focus on Pricing, Credit Management, and Advance Payments.
• Gather business requirements and translate them into functional specifications.
• Customize SAP SD processes in S/4HANA and ECC systems.
• Collaborate with procurement and finance teams on S2P (Source to Pay) processes.
• Support testing cycles and deliver end-user training during rollouts and go-lives.
• Troubleshoot and resolve production issues in coordination with technical teams.
• Maintain detailed documentation of system configurations and process flows.
• 
  

Must-Have Skills:

• 4+ years of relevant SAP SD experience, including work on S/4HANA.
• Strong domain expertise in:
• Pricing Procedures
• Credit Management
• Advance Payment Scenarios
• Mandatory experience with at least one S/4HANA end-to-end implementation.
• Solid understanding of S2P-related integration and touchpoints.
• Working knowledge of Vendor Master Data and related tables (e.g., LFA1, LFB1, etc.).
• Good communication skills and experience working in a client-facing role.
• 
  

Preferred Qualifications:

• Exposure to related SAP modules (e.g., MM, FICO).
• Experience with international rollouts or multi-country deployments.
• SAP SD certification is an added advantage.

About Us

HDIP (Hiringdog Interview Platform) is an innovative Interview-as-a-Service platform designed to help software product companies conduct seamless and efficient first-round technical interviews. With a curated network of experienced interviewers and AI-powered insights, HDIP ensures faster, unbiased, and high-quality evaluations—saving valuable time for tech teams. Built for scalability and precision, HDIP empowers companies to make smarter hiring decisions while delivering a top-tier candidate experience.

We are looking for a Sales Manager with experience in enterprise product sales in India to drive revenue growth, build strong client relationships, and expand our market reach.

What You’ll Do

• Enterprise Sales: Drive B2B sales for our Interview-as-a-Service platform to software product companies.
• 
  
• Lead Generation & Outreach: Identify, engage, and convert potential clients through targeted outreach.
• 
  
• Client Consultations: Understand customer pain points and present tailored solutions.
• 
  
• Negotiation & Closing: Own the entire sales cycle from first contact to closing deals.
• 
  
• Partnerships & Networking: Build strong relationships with HR leaders, hiring managers, and CTOs.
• 
  
• Market Research: Stay updated on industry trends, competition, and customer needs.
• 
  

What We’re Looking For

• 3 + years of experience in enterprise product sales in US.

• Proven success in B2B SaaS or HR.

• Strong negotiation, presentation, and relationship-building skills.

• Ability to work independently in a fast-paced, early-stage startup.

• A humble, learning-oriented mindset with a drive to exceed sales targets.

Why Join Us?

• Sell a high-impact, in-demand product in the AI-driven SAAS space.

• Opportunity with flexibility.

• High-growth potential – Be part of the core team driving revenue in a fast-growing startup.

If you are an immediate joiner who thrives in enterprise sales and fast-paced environments, let’s connect! 🚀

Required Skills and Experience:

Proficient in Java (Java 8 and above), with a strong understanding of object-oriented programming.

Knowledge in the trading domain, including familiarity with trading systems and protocols.

Strong skills in SQL and PL/SQL for database management and query optimization.

Hands-on experience with Linux and Windows operating systems for application deployment and maintenance.

Proficiency in scripting languages (e.g., Bash, PowerShell, or similar).

Knowledge of Python programming for auxiliary development and analytics tasks.

Familiarity with multithreading, concurrency, and low-latency application development.

Experience with CI/CD pipelines, version control systems (e.g., Git), and deployment workflows.

Job Description:

• Strong working experience in IOS application development is a must. First-hand experience of native mobile apps using Swift must.
• Experience with Swift, RxSwift, Swift UI, Unit test.
• Strong system design and architecture skills - specifically for IOS. Curiosity to tinker around, explore new paradigms and strongest for continuous improvement. Strong problem-solving skills.
• Understanding of network connections, Rest API'sand scheduling. Strong knowledge about security standards (e.g. HTTPS) and privacy standards.
• Idea/experience of the unit and instrumentation testing in IOS. Optimizing app performance and memory consumption.
• Leveraging community libraries to efficiently complete development tasks.
• Debugging apps using simulators and related tooling.
• Persisting data for offline-first apps using databases such as Realm.
• Localizing apps to support multiple languages and regions, vernacular libraries and fonts.
• Familiar with Version control system such as GIT.

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