NeGD is currently inviting application for Technical Architect – AI, Machine Learning Engineers / Data Engineers / Data Scientists, Software Developer, QA – AI, DevOps, Security Analyst and Content/Technical Writers

संविदात्मक
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8 महीना पहले पोस्ट किया गया

NeGD वर्तमान में क्षमता निर्माण योजना चरण III के तहत अनुबंध के आधार पर संसाधनों के फ्लेक्सी पूल के लिए वरिष्ठ सलाहकार Technical Architect – AI, Machine Learning Engineers / Data Engineers / Data Scientists, Software Developer, QA – AI, DevOps, Security Analyst and Content/Technical Writers पूर्णतः अनुबंध के आधार पर।

The last date of receipt of application will be 04.10.2024 i.e. Friday.

 

1. पद: Technical Architect – Artificial Intelligence
अनुभव: 10+ years of experience
Number of Position : 01
Budget 30 LPA

महत्वपूर्ण जिम्मेदारियाँ:

  • Architect & Develop RAG Platform: Lead the design and architecture of a robust RAG platform that integrates generative AI models with retrieval-based mechanisms, optimizing for accuracy, performance, and scalability.
  • Agent-Based Solution Development: Build AI agents that can autonomously perform tasks using information retrieval, language models, and multi-turn interactions.
  • Generative AI Integration: Architect solutions leveraging LLMs (e.g., GPT, Anthropic, Llama, etc.) for generating high-quality, contextually accurate content in response to user queries.
  • Data & Knowledge Integration: Work on integrating structured and unstructured data sources into the RAG framework to improve model outputs.
  • Platform Architecture: Design a modular and flexible architecture to support diverse use cases and enterprise-scale workloads.
  • Collaborate with Teams: Work closely with product, engineering, and data science teams to ensure seamless integration of AI capabilities into broader products.
  • Security & Compliance: Ensure platform architecture adheres to best practices in data security, privacy, and compliance, particularly in AI-driven applications.

 

2. पद: Machine Learning Engineers / Data Engineers / Data Scientists
अनुभव: 5+साल
पदों की संख्या : 3
Budget : 24 LPA

महत्वपूर्ण जिम्मेदारियाँ:

  • Model Evaluation: Implement strategies for continuous evaluation, monitoring, and tuning of models to ensure high-quality outputs.
  • Data Pipeline Design: Build robust data pipelines for preprocessing and integrating structured and unstructured data sources into the platform.
  • Data Retrieval & Augmentation: Develop and optimize the retrieval mechanisms that provide relevant context for the generative models.
  • Fine-tuning & Customization: Fine-tune existing generative models to improve performance for specific business use cases.
  • Collaborate with Teams: Work closely with data engineers, and software engineers to ensure seamless integration of machine learning models into production environments.
  • Performance Optimization: Implement and experiment with various techniques such as vector search, semantic search, and knowledge distillation to enhance the platform’s efficiency and accuracy.
  • Data Quality: Ensure data quality and consistency throughout the data pipeline, implementing necessary quality checks and validation processes.
  • Continuous Learning: Stay updated on state-of-the-art AI research, particularly in RAG, and Generative AI, and apply relevant advancements to improve the platform.

 

3. पद: Software Developer – NodeJS
अनुभव: 3+ साल
Number of Position : 2
Budget : 18LPA

महत्वपूर्ण जिम्मेदारियाँ:

  • Full-Stack Development: Design and develop web applications using React.js for the frontend, Node.js for the backend, and Next.js for server-side rendering and static site generation.
  • Component-Based Architecture: Build reusable components and front-end libraries to ensure a consistent and efficient user experience across the application.
  • API Development: Develop and integrate RESTful and GraphQL APIs to enable seamless communication between the frontend and backend systems.
  • Optimization: Implement performance optimization techniques for web applications, including lazy loading, code splitting, and caching strategies.
  • Code Quality and Reviews: Write clean, maintainable code and conduct code reviews to ensure adherence to best practices and architectural guidelines.
  • Collaboration: Work closely with UI/UX designers, product managers, and backend engineers to translate business requirements into technical solutions.
  • Testing and Debugging: Write unit and integration tests using testing frameworks like Jest and Cypress, and perform debugging to identify and fix bugs and performance issues.
  • संस्करण नियंत्रण: Use Git for version control, manage branching and merging strategies, and work in an Agile development environment.
  • परामर्श: Provide guidance and mentorship to junior developers, promoting best practices and coding standards within the team.

 

4. Position: Software Developer – Python
अनुभव: 3+ साल
Number of Position : 2
Budget : 18 LPA

महत्वपूर्ण जिम्मेदारियाँ

  • Develop and maintain Conversational AI applications using Python, focusing on RAG (Retrieval-Augmented Generation) architectures.
  • Integrate AI models with external data sources using Langchain for dynamic response generation.
  • Utilize AI/ML services for deploying large language models (LLMs) and other AI components.
  • Build and optimize data pipelines to feed models with relevant, real-time data for efficient AI-driven conversations.
  • Ensure code quality, performance, and scalability in production environments.
  • Maintain thorough documentation and testing for developed modules and systems.

 

5. Position: QA Engineer (AI)
अनुभव: 3+ साल
Number of Position : 2
Budget : 13,06,800 LPA

महत्वपूर्ण जिम्मेदारियाँ:

  • Test Planning and Execution: Design and execute comprehensive test plans for AI models, ensuring the correct functionality of machine learning algorithms.
  • Automation Testing: Develop and maintain automated test suites for AI systems, focusing on edge cases, data variability, and model performance.
  • Model Validation: Validate model accuracy, stability, and fairness by running various test scenarios and monitoring key performance metrics.
  • Collaboration: Work closely with AI engineers and data scientists to understand model behavior and potential risks.
  • Bug Tracking and Reporting: Identify, document, and track bugs, working with developers to resolve issues.
  • Performance Testing: Ensure AI systems meet performance benchmarks, identifying bottlenecks or issues under varying workloads.
  • Continuous Improvement: Implement processes to enhance the testing of AI systems and improve the quality assurance framework.

 

6. Position: देवप्स इंजीनियर
अनुभव: 3+ साल
Number of Position : 1
Budget : 13,06,800 LPA

महत्वपूर्ण जिम्मेदारियाँ:

  • CI/CD Pipeline Management: Design, implement, and maintain continuous integration and continuous deployment pipelines.
  • Automation: Develop scripts and tools to automate tasks such as provisioning, monitoring, and deployment.
  • Monitoring and Logging: Set up infrastructure monitoring and logging tools to ensure the stability and scalability of the system.
  • Cloud Infrastructure: Manage cloud infrastructure (AWS, Azure, GCP) and ensure efficient resource allocation and cost optimization.
  • Collaboration: Work closely with development teams to resolve issues, improve performance, and implement new features.
  • Security Compliance: Ensure systems meet security best practices and compliance requirements.
  • Incident Management: Respond to and resolve infrastructure issues, ensuring high availability and performance of applications.

 

7. Position: Security Analyst
Experience : 3+
Number of Position: 1
Budget : 13,06,800 LPA

महत्वपूर्ण जिम्मेदारियाँ:

  • Threat Monitoring: Continuously monitor systems for security breaches or vulnerabilities using tools such as SIEMs.
  • Incident Response: Investigate and respond to security incidents in real-time, coordinating remediation efforts with other teams.
  • Risk Assessment: Conduct regular security audits, risk assessments, and vulnerability scans to identify potential threats.
  • Policy Development: Develop and enforce security policies and procedures to ensure compliance with regulatory requirements.
  • Penetration Testing: Perform or coordinate penetration testing to identify potential security weaknesses in systems.
  • Security Awareness: Train employees on security best practices, promoting a security-first mindset within the organization.
  • Documentation: Maintain detailed documentation of incidents, vulnerabilities, and actions taken.

 

8.Position: Content Writer / Technical Writer
अनुभव: 2+ साल
Number of Position : 2
Budget : 9 LPA

महत्वपूर्ण जिम्मेदारियाँ:

  • Technical Documentation: Write and maintain technical documentation, including API documentation, user guides, and product manuals.
  • सामग्री निर्माण: Create engaging content such as blog posts, articles, and case studies that explain complex technical concepts in simple terms.
  • Collaboration: Work with product teams, engineers, and developers to gather information and ensure content accuracy.
  • Editing and Proofreading: Review and edit content for clarity, grammar, and adherence to style guidelines.
  • Research: Conduct research on industry trends, products, and technologies to stay updated and provide fresh content ideas.
  • SEO Optimization: Ensure all web content is optimized for search engines by incorporating relevant keywords.

 

महत्वपूर्ण लिंक:

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राष्ट्रीय ई-गवर्नेंस प्रभाग (NeGD) के बारे में

राष्ट्रीय ई-गवर्नेंस प्रभाग (एनईजीडी) डिजिटल इंडिया कॉर्पोरेशन, इलेक्ट्रॉनिक्स और सूचना प्रौद्योगिकी मंत्रालय के तहत एक स्वतंत्र व्यापार प्रभाग है। एनईजीडी केंद्र और राज्य दोनों स्तरों पर विभिन्न मंत्रालयों/विभागों द्वारा किए गए ई-गवर्नेंस परियोजनाओं और पहलों के कार्यक्रम प्रबंधन और कार्यान्वयन में एमईआईटीवाई का समर्थन करने में महत्वपूर्ण भूमिका निभा रहा है।

एनईजीडी डिजिटल इंडिया कार्यक्रम के तत्वावधान में कई नवीन पहलों का नेतृत्व कर रहा है। इन्हें डिजिटल इंडिया के विज़न क्षेत्रों को केंद्र में रखते हुए विकसित किया गया है - प्रत्येक नागरिक, शासन और मांग पर सेवाओं और विशेष रूप से हमारे देश के नागरिकों के डिजिटल सशक्तिकरण के लिए मुख्य उपयोगिता के रूप में डिजिटल बुनियादी ढांचा प्रदान करना; इनमें से कुछ पहलों में डिजिलॉकर, उमंग, पोषण ट्रैकर, ओपनफोर्ज प्लेटफॉर्म, एपीआई सेतु, नेशनल एकेडमिक डिपॉजिटरी, एकेडमिक बैंक ऑफ क्रेडिट्स, लर्निंग मैनेजमेंट सिस्टम शामिल हैं।