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Cloud AI Specialist
2 semanas atrás
We are looking for an experienced Cloud AI Specialist to join our team. The ideal candidate will have a strong background in cloud computing, software engineering and machine learning.
About the Role:
- The successful candidate will collaborate with data engineers, data scientists and software engineers to ensure seamless integration of data pipelines, machine learning algorithms and software modules into successful AI-based applications.
- Designing modern and modular software architectures and frameworks for AI-powered applications.
- Establishing best practices for software engineering and adopting the most suitable frameworks, tools and platforms for building successful AI applications.
Key Responsibilities:
- Collaborating with data engineers, data scientists and software engineers to ensure seamless integration of data pipelines, machine learning algorithms and software modules into successful AI-based applications.
- Designing modern and modular software architectures and frameworks for AI-powered applications.
- Establishing best practices for software engineering and adopting the most suitable frameworks, tools and platforms for building successful AI applications.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Foundational knowledge on software architecture, principles and best practices.
- Several years of experience in full-stack software development in complex and long-term projects, from conception to deployment, with a focus on designing and implementing scalable, modular and maintainable software architectures.
- Previous experience in building AI-based applications is a plus.
- Proficiency in programming and creating solutions with Python. Knowledge of JavaScript/TypeScript is valued.
- Strong knowledge in database design and management, including both SQL and NoSQL databases.
- Experience in building and integrating RESTful APIs. Understanding of API security, authentication, and versioning.
- Knowledge and hands-on experience in using cloud services, preferably AWS.
- Experience with services such as API Gateway, Lambda, ECS, DynamoDB and related ones is highly valued.
- Experience in establishing and promoting best practices in software engineering, such as code reviews, automated testing, version control (Git), and Agile methodologies.
- Experience with AI/ML services (eg. OpenAI, SageMaker, Synapse), containerization, CI/CD and infrastructure as code are nice to have.
- Excellent problem-solving, communication and mentoring skills.
- Fluency in English, both written and spoken.
- A reliable team player, with a collaborative attitude.