AI Full Stack Engineer

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Key Responsibilities

  • Design and develop

    end-to-end AI-powered applications

    , from data pipelines to user interfaces.
  • Build, train, and fine-tune

    machine learning/deep learning models

    (NLP, computer vision, predictive analytics, etc.).
  • Develop robust

    backend services & APIs

    (Flask, FastAPI, Django, or Node.js) to serve ML models.
  • Create engaging, user-friendly

    frontend applications

    (React, Angular, or Vue) to deliver AI solutions.
  • Deploy applications using

    cloud platforms (AWS, GCP, Azure)

    with Docker/Kubernetes.
  • Collaborate with cross-functional teams (data scientists, product managers, engineers) to deliver high-quality solutions.
  • Implement

    MLOps practices

    for CI/CD, monitoring, and model lifecycle management.

Required Skills & Qualifications

  • Programming:

    Strong in Python and JavaScript/TypeScript.
  • AI/ML:

    Experience with TensorFlow, PyTorch, or Scikit-learn; model training, tuning, and evaluation.
  • Backend:

    Proficiency with Flask, FastAPI, Django, or Node.js.
  • Frontend:

    Solid experience with React, Angular, or Vue.js.
  • Databases:

    SQL (PostgreSQL/MySQL) and NoSQL (MongoDB).
  • Cloud & DevOps:

    AWS/GCP/Azure, Docker, Kubernetes, CI/CD pipelines.
  • Strong understanding of

    data structures, algorithms, and system design

    .
  • Experience deploying ML models into

    production-ready applications

    .

Preferred Qualifications

  • Experience with

    NLP libraries (spaCy, Hugging Face, Transformers)

    or

    computer vision frameworks (OpenCV, YOLO, Detectron2)

    .
  • Knowledge of

    big data tools

    (Spark, Hadoop).
  • Prior experience working in a

    startup or fast-paced environment

    .
  • Contributions to

    open-source AI/ML projects

    .

What We Offer

  • Opportunity to work on cutting-edge

    AI applications with real-world impact

    .
  • A collaborative, innovative, and growth-oriented work environment.
  • Flexible working hours and remote-friendly setup.
  • Competitive salary, performance bonuses, and benefits.


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