Taskify is hiring for Software Engineer Intern | Remote

    Taskify

    Our engineering division is looking for a skilled Software Engineer Intern to help guide the creation, development, and implementation of solutions powered by artificial intelligence. This position is perfect for individuals passionate about AI, machine learning, and software development who are eager to have a significant influence on practical applications. As an AI Software Engineer, you will work alongside engineers, data scientists, and product managers to construct, enhance, and deploy AI models and infrastructures. You will utilize state-of-the-art tools and frameworks, applying your knowledge in algorithms, data handling, and system integration to produce high-quality AI solutions.

    3-4 LPA
    Remote
    Internship
    Freshers
    September 20, 2025 at 05:45 AM
    Taskify is hiring for Software Engineer Intern | Remote   at Taskify - Job Image
    Requirements
    • Proven experience with large-volume data pipelines and distributed computing environments.
    • Working knowledge of cloud computing services (such as AWS, Azure, or GCP).
    • Understanding of APIs, microservice architecture, and containerization tools like Docker or Kubernetes.
    • Familiarity with MLOps principles and CI/CD (Continuous Integration/Continuous Deployment) workflows.
    • A profound interest in the practical application of AI and pioneering new technologies.
    Basic Qualifications
    • A Bachelor's or Master's degree in a relevant field such as Computer Science, Artificial Intelligence, or Data Science.
    • Advanced programming proficiency in Python, Java, or C++.
    • A robust comprehension of machine learning fundamentals, including classification, regression, NLP, computer vision, and deep learning.
    • Practical, hands-on experience using frameworks like TensorFlow, PyTorch, or scikit-learn.
    • Expertise in algorithms, data structures, and object-oriented programming paradigms.
    • Demonstrated experience in constructing and deploying AI applications in practical, real-world settings.
    • Exceptional analytical, problem-solving, and troubleshooting abilities.
    Key Responsibilities
    • Conceptualize, create, verify, and implement AI/ML models and related applications.
    • Develop data workflows for the preparation, cleansing, and modification of large-scale datasets.
    • Perform training, evaluation, and refinement of machine learning models for operational deployment.
    • Embed AI models into software applications and live production environments.
    • Explore and adopt new AI technologies, tools, and methods to expand our technical capabilities.
    • Troubleshoot, enhance, and scale algorithms to increase system efficiency.
    • Work in partnership with interdisciplinary teams (including data science, product, and engineering) to provide complete AI solutions.
    • Participate in the creation of technical documentation, peer code reviews, and the establishment of best practices.
    Technical Skills Required
    CI/CD
    AWS
    Azure
    GCP
    Docker
    Kubernetes
    TensorFlow
    PyTorch
    Locations Available
    Remote
    Ready to Apply?
    Don't miss this opportunity!
    Salary:3-4 LPA
    Experience:Freshers
    Job Type:Internship
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    Job Details
    Posted:September 20, 2025 at 05:45 AM
    Company:Taskify
    About the Company
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    Taskify

    Taskify is a specialized recruitment firm focused on connecting exceptional technology professionals with leading companies across the globe. Functioning as a strategic career partner, the company provides a comprehensive suite of services for job seekers, including personalized coaching, resume optimization, and interview preparation to help them secure exclusive opportunities. For employers, Taskify offers a streamlined hiring process and customized recruitment solutions, leveraging its industry expertise to grant access to a vetted, global talent pool. By bridging the gap between skilled individuals and innovative organizations, Taskify is dedicated to fostering mutual growth and success within the international tech industry. Its dual focus on supporting both candidates and businesses ensures a targeted and effective approach to talent acquisition and career advancement in the technology sector.