AI Application Engineer | MLOps
We are seeking an experienced AI application engineer to join our dynamic team. While prior experience in the AI domain is not mandatory, this position presents a unique opportunity for talented engineers to expand their skill set and grow in the exciting field of artificial intelligence. As an AI application engineer, you will collaborate with cross-functional teams and have the chance to work on projects that integrate AI technologies, contributing to the development of cutting-edge AI-driven applications, to their deployment and to their operation. Strong interpersonal skills, including teamwork and effective communication, are highly valued in our collaborative work environment.
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Responsibilities:
- Design, develop, and maintain AI web applications using modern front-end and back-end technologies.
- Collaborate with product managers, and data scientists to implement AI-related features and functionalities.
- Write clean, efficient, and well-documented code.
- Implement intuitive, responsive, and visually appealing user interfaces.
- Ensure the technical feasibility of UI/UX designs.
- Optimize applications for speed, scalability, and AI processing requirements.
- Perform thorough testing and debugging to ensure proper functionality and performance.
- Deploy and monitor applications, ensuring that applications runs correctly, and that the model’s accuracy does not drift.
- Foster a positive team dynamic, actively participating in collaborative discussions and sharing knowledge.
- Clearly communicate technical concepts and ideas to both technical and non-technical team members.
- Proactively seek and help, support, and mentorship within the engineering team.
- Keep up to date with emerging technologies, including AI advancements and industry trends.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Proven experience as a developer or data engineer, demonstrating strong technical skills.
- Proficiency in front-end technologies such as HTML5, CSS3, JavaScript, and popular JavaScript frameworks (e.g., React, Angular, Vue.js).
- Proficient in back-end technologies such as Node.js, Express.js, and database systems (e.g., MySQL, MongoDB).
- Experience with version control systems (e.g., Git) and collaborative development workflows.
- Strong problem-solving and analytical skills.
- Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines) in the context of AI projects.
- Excellent communication and teamwork abilities, with a collaborative mindset.
- Ability to handle multiple projects and meet deadlines.
- Fluent in spoken and written English.
Additional Skills that could make the difference:
- Familiarity with AI concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
- Understanding of machine learning and its potential applications.
- Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud) in the context of AI applications.
- Understanding of web security principles and best practices.
- Knowledge in data management.
- Experience with data visualization libraries (e.g., D3.js, Highcharts).
- Passion for learning and growing in the AI domain.
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