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    Home/Jobs/AI System Engineer

    AI System Engineer

    Digital X Node

    Delhi / Noida
    1-3 years
    46 days ago
    ₹6–15 LPA
    Full-time
    Onsite

    Skills Required

    Python
    REST API
    TensorFlow
    AWS
    GCP
    Backend
    Machine Learning
    AI
    Deep Learning
    Neural Networks
    Scikit-learn
    PyTorch

    Description

    We are looking for a passionate and technically skilled AI System Engineer with 1–3 years of experience to join our growing technology team. The ideal candidate will work on designing, developing, and maintaining AI-driven systems and scalable software solutions for real-world business applications. This role provides the opportunity to work with modern artificial intelligence technologies, cloud infrastructure, backend systems, and machine learning workflows in a collaborative and innovation-driven environment.

    Company: digital-x-node

    Role: AI System Engineer

    Location: Delhi, Noida

    Experience:

    • 1 to 3 Years

    Qualification:

    • B.Tech / BCA / MCA / B.Sc. in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or Equivalent Qualification

    Role Focus: • Design, develop, and optimize AI and machine learning models for various business applications • Build and maintain scalable backend systems and AI-driven applications • Support the integration of AI solutions into existing software platforms and enterprise systems • Develop and manage data pipelines, APIs, and automation workflows for AI processing • Collaborate with cross-functional teams including developers, engineers, and product teams to deliver AI-enabled solutions • Research and implement modern AI technologies, frameworks, and machine learning techniques • Participate in software development lifecycle activities including planning, coding, testing, deployment, and maintenance • Write clean, maintainable, and reusable code following software engineering best practices • Improve application performance, scalability, and system reliability • Work with cloud platforms such as AWS or Google Cloud Platform (GCP) for AI deployment and infrastructure management • Troubleshoot technical issues, debug applications, and provide production support when required • Assist in optimizing AI workflows, backend services, and cloud-based applications • Contribute to system architecture discussions and technical decision-making processes • Monitor and maintain AI applications and backend services for smooth operations • Document technical workflows, development processes, and implementation details

    Nice to have:

    • Experience with,.NET Framework, WCF, or WPF technologies
    • Familiarity with machine learning frameworks and AI tools such as PyTorch, or Scikit-learn
    • Exposure to AI model deployment and MLOps workflows
    • Knowledge of cloud-native application development and microservices architecture
    • Understanding of DevOps concepts, CI/CD pipelines, and automation tools
    • Familiarity with Docker, Kubernetes, or containerized environments
    • Exposure to scalable distributed systems and enterprise application architecture
    • Knowledge of code quality tools, testing frameworks, and debugging techniques
    • Interest in AI research, intelligent automation, and data-driven technologies
    • Understanding of version control systems such as Git

    More skills:

    Java, C++, C#, Backend development, API integration, Google Cloud Platform (GCP)

    Other:

    • Full Time
    • Onsite
    • Passion for learning new technologies and adapting to modern development practices
    • Good verbal and written communication skills
    • Strong attention to detail and ability to manage multiple tasks effectively
    • Ability to work independently as well as collaboratively in a team environment

    Prepare for this role

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