Business and marketing head

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 1-2 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Key Responsibilities:

• Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
• Build pipelines that convert unstructured visual inputs into structured and usable information.
• Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
• Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
• Work with large datasets and build efficient training and evaluation pipelines.
• Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
• Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
• Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
• Continuously improve model performance, accuracy, and robustness in real-world environments.
• Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
• Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.

Requirements:

• 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
• Strong proficiency in Python for machine learning and data processing.
• Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
• Experience with computer vision tooling such as OpenCV.
• Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
• Experience developing models for tasks such as segmentation, object detection, or document analysis.
• Experience working with large image datasets and building training pipelines.
• Solid understanding of model evaluation, data preprocessing, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced product environment.
• Ability to collaborate effectively with cross-functional engineering and product teams.
• The candidate should be based in India
• Willing to work remotely full-time
• Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Preferred Qualifications:

• Experience with TensorFlow or other deep learning frameworks.
• Experience working with OCR pipelines or document analysis systems.
• Experience deploying machine learning models in production environments.
• Experience with containerized deployments such as Docker or Kubernetes.
• Experience working with complex technical documents, diagrams, or structured visual data.
• Familiarity with spatial or geometry-related data problems.
• Experience with libraries such as Detectron2, MMDetection, or similar.
• Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
• Contributions to open-source ML or computer vision projects are a plus.

Additional Information:

• The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
• Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.

Benefits:

• Flexible remote work opportunities with career development opportunities
• Engagement with a supportive and collaborative global team
• Competitive market based salary

Key duties and responsibilities include

• Expert in configuring, managing, and customizing the Salesforce CPQ (Configure Price
• Quote), CLM (Contract Lifecycle Management) and Orders Lifecycle.
• Understand the Data Model related to Salesforce CPQ.
• In-depth knowledge in Product setup, Product Options, Product configuration & rules, Pricing, Discounting, and Quote templates in Salesforce CPQ.
• Experience in integrating Salesforce CPQ with external systems using connectors, SOAP/REST API.
• Individual contributor with comprehensive knowledge of the Salesforce platform, including technical and functional capabilities.
• Design and implement Quote to Cash solutions using Salesforce CPQ Optimization of solutions through an understanding of business needs and technology capabilities.
• Utilize best practices to perform operational support, enhancements, bug fixes as needed.
• Work closely with key stakeholders/project team to recommend and agree technical solutions to meet business requirements.

Skills and experience required

• Should have 4+ years of implementation experience on Salesforce Development.
• Should have min 2+ years of hands on experience of CPQ Development.
• Good Salesforce programming skills (Apex and Visualforce/LWC)
• Advanced knowledge of the Salesforce CRM platform and suite of Salesforce products.
• Ability to design and provide solutions using Salesforce.com out of box features and custom development tools.
• Extensive experience in all phases of SFDC process which involves requirement gathering, requirement analysis, design, development, implementation Integration & enhancement in Salesforce projects.
• Extensive knowledge of product configuration, complex pricing rules & sequence, quote configurator plugins & Salesforce CPQ APIs.
• Good understanding of Salesforce CPQ Price Waterfall methodology.
• Proficiency in various CPQ functionalities like amendments, renewals, and order management. Proven experience in solution design, effort estimation, and work breakdown for assigned tasks to support Agile practices.
• Effective verbal, and written communication skills.
• Good work ethic, passion for product quality, and attention to detail.

Qualifications

• Bachelors/Postgraduate degree, professional qualification, or relevant experience
• Salesforce CPQ certification is mandatory.

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python  & Django

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (Model-View-Controller (MVC)
• 5 years of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

• Responsible for providing technical leadership, design and development of complex pieces of the service oriented architecture based platform.
• Modelling Database Design for large scale applications.
• Develop for performance engineering.
• Design for the right use of micro services, containerization and observability.

• Drive technology and product innovation through rapid prototyping and iterative development.
• Create reference implementation for our integrations and for backward compatibility.
• Not interested in managerial responsibilities

Requirements, Desired Skills and Experience

• Tech Stack based on Ruby-on-Rails, Python-Django or Node.js frameworks.

• Engineering degree 

   Opportunities for the right candidate

• Build and develop SaaS and PaaS products from scratch
• Build the best-in-class UX based products
• State of Art technologies (Latest trends in the industry)
• Work with a well-knit team, almost like one’s family
• Startup culture and advantages of working in a co-working space
• Performance based career progress and high visibility with management and founders

• Experience in full-cycle recruiting
• Proficiency in recruitment software and social media recruiting techniques
• Proven ability to identify and attract top talent
• Strong communication and interpersonal skills
• Ability to build and maintain strong relationships with candidates and hiring managers
• Knowledge of labor laws and regulations
• Bachelor's degree in Human Resources, Business Administration, or related field
• Experience in the travel or hospitality industry is a plus
• Professional certification in HR or recruiting is a plus
• Proven experience of 1-2 years
• Immediate joiner from the location of Noida and Delhi NCR only.

Job Description:

• working on all layers of architecture Understanding the flow of code and how it interacts with different components.
• Building REST API.
• Creating technical design documents by understanding requirements, and product objectives.
• Writing effective Unit tests
• Good analytical skills and innovative mind.
• Source code management.
• Excellent communication skills.

Desired Skills

• Experience on Mern Stack (MongoDB, Express.js, React, Node.js)
• Strong understanding of JavaScript, object-oriented JS, its quirks, and workarounds•
• Strong hands-on experience in JavaScript• Strong proficiency with JavaScript or CoffeeScript depending on your technology stack.
• Good understanding of server-side CSS preprocessors such as Stylus, Less•
• Basic understanding of web markup, including HTML5 and CSS3• Good understanding of asynchronous request handling, partial page updates, jQuery, and AJAX•
• Proficient understanding of cross-browser compatibility issues and ways to work around such issues• Familiarity with JavaScript module loaders, such as Require.js and AMD•
• Proficient understanding of code versioning tools, such as SVN• Good understanding of browser rendering behavior and performance
• Key Programming Skills: MERN stack, full stack, React, Java, HTML/CSS, JavaScript, Bootstrap.
• Experience working with Rest based APIs

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