About the role

AI/ML Full Stack Developer

Job Summary:

We are seeking an innovative and skilled AI/ML Full Stack Developer to join our dynamic team. This role involves designing and implementing cutting-edge machine learning models and integrating them with robust front-end and back-end systems, ultimately driving our technological advancements and enhancing user experiences.

Key Responsibilities:

Develop and deploy machine learning models for various applications, ensuring accuracy and performance.
Design and implement scalable APIs to serve AI/ML functionalities and ensure seamless integration with front-end applications.
Create intuitive user interfaces with modern frameworks to improve engagement with AI-driven features.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Perform data analysis and preprocessing to enhance model training, validation, and optimization.
Monitor and maintain existing AI/ML systems, troubleshooting issues and implementing improvements.
Stay up-to-date with the latest industry trends and technologies in AI/ML and full-stack development to inform future projects.

Requirements:

Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.
Minimum of 5 years of experience in full-stack development with proven expertise in AI/ML technologies.
Strong programming skills in Python, JavaScript, and familiarity with frameworks like TensorFlow, PyTorch, or similar.
Experience with front-end technologies such as React, Angular, or Vue.js.
Solid understanding of database systems (SQL and NoSQL) and cloud services (AWS, Azure, GCP).
Excellent problem-solving skills with the ability to work independently and collaboratively.
Effective communication skills to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

Experience in deploying machine learning applications in a production environment.
Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
Familiarity with MLOps frameworks for managing ML lifecycle.
Understanding of data visualization tools and techniques for presenting insights.
Contributions to open-source projects or relevant publications in AI/ML.

Benefits:

Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance plans.
Generous paid time off and flexible working hours.
Opportunities for professional development and continuing education.
Access to cutting-edge tools and technology to support your contributions.
Collaborative and inclusive company culture that values innovation and growth.
Remote work options to promote work-life balance.

AI ML Full Stack Developer