DE&A - AIML - Deep Learning (Other) - Professional

 About The Role :: 
We are seeking a talented and experienced Full Stack Developer with a strong background in React, data science, and cloud tools. The ideal candidate will have at least 5 years of experience in software development, with a proven track record of building scalable web applications and leveraging data-driven insights to enhance user experiences. You will work closely with cross-functional teams to design, develop, and deploy innovative solutions that meet our business needs.

 Key Responsibilities: 

Develop and maintain responsive web applications using React and related technologies.

Collaborate with data scientists to integrate data-driven features and analytics into applications.

Design and implement RESTful APIs and microservices to support front-end functionality.

Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for application deployment, data storage, and processing.

Conduct code reviews, testing, and debugging to ensure high-quality software delivery.

Work with UX/UI designers to create intuitive and user-friendly interfaces.

Analyze and interpret complex data sets to inform application features and improvements.

Stay up-to-date with emerging technologies and industry trends to continuously enhance skills and knowledge.

 Qualifications: 

Bachelor’s degree in Computer Science, Engineering, or a related field.

Minimum of 5 years of experience in software development, with a focus on front-end technologies.

Proficiency in React and its ecosystem (Redux, React Router, etc.).

Experience with data science concepts and tools (e.g., Python, R, SQL, machine learning libraries).

Familiarity with cloud services (AWS, Azure, Google Cloud) and deployment practices.

Strong understanding of web development principles, including HTML, CSS, and JavaScript.

Experience with version control systems (e.g., Git) and agile development methodologies.

Excellent problem-solving skills and the ability to work independently and collaboratively.

Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.

 Preferred Qualifications: 

Experience with containerization technologies (e.g., Docker, Kubernetes).

Knowledge of data visualization tools (e.g., Tableau, Power BI).

Familiarity with CI/CD pipelines and DevOps practices.