At a Glance
- Tasks: Design and build innovative AI/ML solutions for the LLM Suite platform.
- Company: Join hackajob, a leader in tech innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Collaborative environment focused on creativity and operational excellence.
- Why this job: Make an impact in AI/ML while working with cutting-edge technology.
- Qualifications: Computer science degree, Python skills, and cloud experience required.
The predicted salary is between 60000 - 80000 € per year.
hackajob is looking for an Applied AI ML Senior Associate to contribute to the LLM Suite platform. This role involves designing, building, and troubleshooting software for AI/ML solutions, emphasizing secure and high-quality code.
Candidates should have a computer science degree along with hands-on experience in system design and operational stability. Proficiency in Python and experience with cloud platforms like Azure and AWS are necessary.
The position focuses on collaboration and feedback to optimize creative solutions.
Senior Applied AI/ML Engineer – LLM Suite & GenAI in London employer: hackajob
At hackajob, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Senior Applied AI/ML Engineer, you will have access to cutting-edge technology and the opportunity for continuous professional development, all while working in a dynamic environment that values creativity and teamwork. Located in a vibrant tech hub, we offer competitive benefits and a supportive atmosphere that encourages growth and exploration in the field of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI/ML Engineer – LLM Suite & GenAI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and cloud platforms like Azure and AWS. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on system design and operational stability concepts. Practice explaining your thought process clearly; it’s all about collaboration and feedback!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to find your application.
We think you need these skills to ace Senior Applied AI/ML Engineer – LLM Suite & GenAI in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and cloud platforms like Azure and AWS. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for the Senior Applied AI/ML Engineer position. We love seeing candidates who understand our needs and can demonstrate how their background fits perfectly with the LLM Suite platform.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your experience and qualifications shine through without unnecessary fluff.
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 this exciting opportunity in our team!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant frameworks. Be ready to discuss your previous projects in detail, especially those involving AI/ML solutions. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach designing and troubleshooting software for AI/ML. Practising common system design questions can help you articulate your thought process clearly.
✨Familiarise Yourself with Cloud Platforms
Since experience with Azure and AWS is crucial, make sure you can discuss how you've used these platforms in your past work. Highlight any specific projects where you implemented cloud solutions, as this will demonstrate your hands-on experience.
✨Emphasise Collaboration and Feedback
This role values teamwork, so be prepared to talk about how you've worked with others to optimise solutions. Share examples of how you've received and acted on feedback in previous roles, showcasing your ability to adapt and improve.
