Description

You will design, build, and deploy AI-driven applications and RESTful APIs. You bridge the gap between machine learning models and full-stack web solutions.

Responsibilities

• Develop and deploy AI/ML models using TensorFlow, PyTorch, or Scikit-learn.
• Design and build RESTful APIs to integrate AI services with applications.
• Implement and optimize ML pipelines for data processing and model training.
• Build full-stack web solutions using Python (Django/Flask) and JavaScript (React.js/Node.js).
• Deploy models on AWS/GCP/Azure and manage databases (PostgreSQL, MongoDB).

Required Skills

• 5+ years of experience in software development.
• Hands-on experience with Supervised, Unsupervised Learning, NLP, and Computer Vision.
• Proficiency in Python, Django, Flask, React.js, and Node.js.
• Experience building and consuming APIs using FastAPI, Flask, or Express.js.
• Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Firebase).
• Familiarity with AWS, Azure, or GCP services (Lambda, EC2, Cloud Functions).
• Understanding of MLOps tools: CI/CD, Docker, Kubernetes, MLflow, TensorBoard.
• Version control experience with Git/GitHub/GitLab.
• Bachelor's or Master's in Computer Science, AI/ML, or related field.

Preferred Skills

• Experience collaborating with data scientists to enhance AI-driven applications.
• Strong problem-solving ability and ability to write clean, scalable code.

Key Skills

Education

Any Graduate