At a Glance
- Tasks: Prepare datasets and develop AI applications for mobile radio testing.
- Company: Join a forward-thinking tech company focused on AI solutions.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Collaborative team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: Experience in machine learning and a passion for technology.
The predicted salary is between 30000 - 50000 £ per year.
As a member of our AI Software Solution teams, your key responsibilities will include:
- Prepare, clean, and augment datasets for model training and evaluation.
- Develop and refine AI applications through model training and fine-tuning, agentic workflows and feedback loops.
- Apply machine learning and deep learning techniques (e.g., classification, regression, feature extraction) to address challenges in mobile radio testing.
- Integrate semantic search and root cause analysis features for mobile communication logs.
- Benchmark and optimize AI performance.
- Ensure seamless deployment, reliability, and scaling by collaborating on cloud infrastructure setups and CI/CD automation.
- Develop and maintain user-friendly web UI to access and visualize AI functionalities.
AI Software Engineer in Fleet employer: ROHDE & SCHWARZ GmbH & Co. KG
Join a forward-thinking company that prioritises innovation and collaboration, offering an inclusive work culture where your contributions as an AI Software Engineer will directly impact the future of mobile communication. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, all while enjoying the vibrant tech scene in our dynamic location. Experience the unique advantage of working alongside industry experts in a supportive environment that values creativity and teamwork.
Contact Details:
ROHDE & SCHWARZ GmbH & Co. KG Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer in Fleet
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and deep learning techniques. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with datasets, model training, and cloud infrastructure.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace AI Software Engineer in Fleet
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI applications and machine learning techniques. We want to see how your skills align with the responsibilities mentioned in the job description, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Relevant Projects:If you've worked on any projects related to mobile radio testing or semantic search, be sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ROHDE & SCHWARZ GmbH & Co. KG
✨Know Your AI Stuff
Make sure you brush up on your machine learning and deep learning techniques. Be ready to discuss classification, regression, and feature extraction in detail. It’s a good idea to have examples from your past work where you’ve applied these techniques, especially in mobile radio testing.
✨Showcase Your Data Skills
Since preparing and cleaning datasets is a key responsibility, be prepared to talk about your experience with data augmentation and model training. Bring along any relevant projects or case studies that highlight your ability to handle datasets effectively.
✨Collaboration is Key
This role involves working closely with cloud infrastructure and CI/CD automation. Be ready to discuss how you've collaborated with teams in the past, particularly in deploying AI applications. Highlight any experience you have with cloud platforms and how you ensured reliability and scalability.
✨User Experience Matters
Don’t forget to mention your experience in developing user-friendly web UIs. Be prepared to discuss how you’ve made AI functionalities accessible and visual for users. Think of specific examples where your UI design improved user interaction or satisfaction.
