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- Tasks: Join a dynamic team to develop and deploy scalable ML solutions on Databricks.
- Company: Innovative company leading in Passenger Information Systems.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Be at the forefront of AI development and make a real impact.
- Qualifications: Experience in machine learning and managing complex data pipelines.
- Other info: Exciting environment with strong career advancement potential.
The predicted salary is between 42000 - 84000 £ per year.
Faboci Srl è una realtà innovativa e dinamica in continuo divenire – MAKE IT EASY. Professionisti del recruiting ICT si sono incontrati con esperti della formazione tecnica; assieme, queste due sfere hanno lavorato su use case concreti e regolati che integrano modelli LLM all'interno.
Entrerai a far parte dell’organico di SADEL, società leader sul mercato nazionale dei Passenger Information Systems di bordo treno. Dal 2018 è entrata a far parte del Gruppo AlmavivA, dopo una collaborazione.
Stiamo ricercando un middle Machine Learning Engineer con esperienza consolidata nello sviluppo e deployment di soluzioni ML scalabili su Databricks. Specializzato nella gestione di pipeline dati complesse.
Senior Track Engineer employer: Ayesa
Contact Detail:
Ayesa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Track Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry, attend events, and connect on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Senior Track Engineer role.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their focus on AI and Passenger Information Systems. We want you to show them you’re not just another candidate, but someone who’s genuinely interested in what they do.
✨Tip Number 3
Practice your technical skills! Brush up on your machine learning knowledge and be ready to discuss your experience with scalable solutions. We believe that showcasing your expertise can really set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you every step of the way, so let’s make it happen together!
We think you need these skills to ace Senior Track Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Track Engineer role. Highlight relevant experience and skills that match the job description, especially in areas like Machine Learning and data pipeline management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for our innovative team at Faboci Srl.
Showcase Your Projects: If you've worked on any projects related to AI or Passenger Information Systems, be sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 without any hiccups!
How to prepare for a job interview at Ayesa
✨Know Your Stuff
Make sure you brush up on your knowledge of Machine Learning and Databricks. Be ready to discuss specific projects you've worked on, especially those involving scalable ML solutions. This shows you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, particularly around managing complex data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled these issues effectively.
✨Understand the Company’s Vision
Research Faboci Srl and SADEL to understand their focus on AI and Passenger Information Systems. Tailor your responses to align with their goals and demonstrate how your skills can contribute to their innovative projects.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects in AI Generativa or how they integrate LLM models. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
