-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 (., , react, angular, or 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 (. c#, java, python) and javascript frameworks (.
angular, react, )
- 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.