Responsibilities:

-Design, develop, and maintain scalable ML/Al applications using Python / JavaScript.

- Write effective APIs

- Develop and optimize SQL queries and manage databases to support application functionalities.

- Utilize cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure to deploy, monitor, and scale applications.

- Ability to design ML Pipelines

- Collaborate with cross-functional teams to define project requirements and create technical specifications.

- Write clean, maintainable, and efficient code while adhering to best practices and coding standards.

- Troubleshoot and Debugging

- Conduct code reviews and provide constructive feedback to peers.

- Stay updated with the latest industry trends and technologies to ensure continuous improvement and innovation.

- Troubleshoot and resolve software issues and bugs in a timely manner.

- Participate in Agile methodologies, including sprint planning, stand-ups, and retrospectives.

Required Skills and Qualifications:

- Proven experience as a Full Stack Developer or similar role with 5 years of experience or more

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Proven experience in software development using Python and JavaScript (e.g., Node.js, React, Angular, or Vue.js frameworks).

- Strong knowledge of SQL and experience with PostgreSQL/MongoDB databases.

- Hands-on experience with cloud platforms such as GCP, AWS, Azure.

- Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)

- Familiarity with time series forecasting techniques.

- Experience with version control systems like Git.

- Proficient understanding of web markup, including HTML5 and CSS3.

- Strong problem-solving skills and the ability to work independently or within a team environment.

- Excellent verbal and written communication skills.

Preferred Optional Skills:

- Experience with containerization technologies like Docker and orchestration platforms like Kubernetes.

- Knowledge of RESTful APIs design and development.

- Familiarity with CI/CD pipelines and automated deployment tools.

- Background in machine learning and data science is a plus.

- Understanding of serverless architectures and microservices.

Full Stack Software Deveoper