Full Stack AI Engineer – AI/ML Implementation

We are seeking a skilled Full Stack AI Engineer with hands-on experience in AI/ML implementation, Python development, TensorFlow, and cloud-based AI solutions. The ideal candidate will have experience building full-stack applications integrated with machine learning models and deploying scalable AI solutions in cloud environments.
Roles and Responsibilities
Design, develop, and maintain full-stack applications with AI/ML capabilities.
Develop and implement machine learning models using Python and TensorFlow.
Integrate AI/ML models into frontend and backend applications.
Build and maintain REST APIs and backend services for AI-powered applications.
Develop and deploy cloud-based AI/ML solutions.
Prepare, process, and analyze datasets for model training and evaluation.
Optimize model performance, application scalability, and system reliability.
Collaborate with engineering, product, and data science teams to deliver AI-driven solutions.
Perform testing, debugging, model validation, and production troubleshooting.
Maintain technical documentation and follow software development best practices.
Required Technical Skill
Full Stack Development
Python Programming
Artificial Intelligence and Machine Learning
TensorFlow
AI/ML Model Implementation and Integration
Frontend Technologies: JavaScript, HTML, CSS, React or Angular
Backend Development and REST APIs
Cloud Computing and Cloud-Based AI/ML Deployment
Database Management: SQL or NoSQL
Git and Version Control
Software Testing and Debugging
Required Qualifications
4–6 years of relevant experience in full-stack development, AI/ML engineering, or software engineering.
Hands-on experience implementing AI/ML solutions using Python and TensorFlow.
Experience integrating machine learning models into full-stack applications.
Understanding of cloud-based application development and deployment.
Strong problem-solving, analytical, and communication skills.

Work arrangement
Yes