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- Tasks: Join our team to develop and deploy cutting-edge AI applications using React, JavaScript, and Python.
- Company: Be part of a dynamic Device Intelligence team focused on innovative AI solutions.
- Benefits: Enjoy a collaborative work environment with opportunities for growth and learning in AI technologies.
- Why this job: Work on exciting projects that shape the future of AI while collaborating with talented professionals.
- Qualifications: Proven experience in data science and familiarity with traditional and Generative AI techniques required.
- Other info: Stay ahead of the curve by integrating emerging AI technologies into your work.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We are urgently looking for an AI Engineer to join our Device Intelligence team. The ideal candidate will have proven experience in Data science Background, leveraging both traditional AI and Generative AI techniques along with applications using React, JavaScript, and Python\\n\\nJob Description:\\n\\n * Data science expert to preprocess, analyse, and model data, leveraging both traditional AI and Generative AI techniques.\\n\\n * Develop and deploy AI-driven applications using React, JavaScript, and Python, ensuring scalability and production readiness.\\n\\n * Design and optimize end-to-end AI pipelines, from data engineering to model training and deployment.\\n\\n * Stay updated on emerging AI technologies and integrate them with existing AI/ML frameworks for innovative solutions.\\n\\n * Collaborate with cross-functional teams to architect and build AI-powered full-stack applications, ensuring efficiency, security, and usability
AI Engineer employer: Ascendion
Contact Detail:
Ascendion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Make sure to showcase your experience with both traditional AI and Generative AI techniques. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your expertise to our hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and machine learning. Being able to discuss recent advancements or tools during your interview can set you apart and show your passion for the field.
✨Tip Number 3
Prepare to discuss your experience with React, JavaScript, and Python in detail. Be ready to explain how you've used these technologies in previous projects, especially in developing scalable AI applications.
✨Tip Number 4
Collaboration is key in our Device Intelligence team. Think of examples where you've worked with cross-functional teams to deliver a project, and be prepared to share how you contributed to the success of those collaborations.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in data science, particularly with traditional AI and Generative AI techniques. Provide specific examples of projects where you have successfully applied these skills.
Showcase Technical Skills: Clearly list your proficiency in React, JavaScript, and Python. Mention any relevant frameworks or libraries you have used in your previous work to develop AI-driven applications.
Detail Your Problem-Solving Approach: Describe your approach to designing and optimizing AI pipelines. Include any methodologies you follow for data engineering, model training, and deployment to demonstrate your systematic thinking.
Stay Current with AI Trends: Mention any recent AI technologies or trends you are familiar with. This shows your commitment to continuous learning and your ability to integrate new solutions into existing frameworks.
How to prepare for a job interview at Ascendion
✨Showcase Your Data Science Expertise
Be prepared to discuss your experience with data preprocessing, analysis, and modeling. Highlight specific projects where you utilized both traditional AI and Generative AI techniques.
✨Demonstrate Your Technical Skills
Make sure to showcase your proficiency in React, JavaScript, and Python. You might be asked to solve a coding problem or explain how you've used these technologies in past projects.
✨Discuss AI Pipeline Design
Be ready to talk about your experience designing and optimizing end-to-end AI pipelines. Discuss the challenges you faced and how you overcame them to ensure scalability and production readiness.
✨Stay Updated on AI Trends
Show your passion for AI by discussing recent advancements in the field. Mention any new technologies or frameworks you've integrated into your work and how they can benefit the company's projects.
