AI/ ML Engineer

Key Responsibilities:

• Design, build, and deploy

  AI/ML models

  for real-world business and manufacturing problems (e.g., predictive maintenance, process optimization, document automation, etc.).
• Develop

  end-to-end AI web applications

  (backend + frontend) using frameworks like Flask, FastAPI, or Django for backend and React, Angular, or Vue for frontend.
• Implement and maintain

  data pipelines

  for model training and prediction.
• Integrate trained models into scalable and user-friendly web interfaces.
• Host, monitor, and maintain AI applications on

  cloud or on-premise web servers

  (AWS, Azure, Google Cloud, or companys internal servers).
• Collaborate with IT, QA, and process teams to identify automation and AI opportunities.
• Ensure application

  security, reliability, and performance optimization.

• Document model architecture, APIs, and deployment procedures.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in

  Computer Science, Data Science, Artificial Intelligence, or related field

  .
• Proven experience in

  AI/ML development and deployment

  .
• Strong programming skills in

  Python

  (TensorFlow, PyTorch, scikit-learn, OpenCV, etc.).
• Proficiency in

  web frameworks

  (Flask, Django, FastAPI) and

  frontend technologies

  (HTML, CSS, JavaScript, React/Angular preferred).
• Experience in

  model deployment

  (Docker, REST API, Flask/FastAPI endpoints).
• Familiarity with

  cloud platforms

  (AWS, Azure, or Google Cloud) and

  web hosting

  environments.
• Knowledge of

  database systems

  (MySQL, PostgreSQL, MongoDB).
• Understanding of version control (Git/GitHub) and CI/CD pipelines.
• Strong analytical thinking, problem-solving, and communication skills.