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- Tasks: Develop AI solutions and backend systems for infrastructure delivery.
- Company: Global infrastructure consulting firm with a focus on innovation.
- Benefits: Flexible work options, competitive salary, and comprehensive benefits.
- Why this job: Make a positive impact while thriving in a dynamic work environment.
- Qualifications: Relevant degree, strong Python skills, and ML deployment experience.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A global infrastructure consulting firm is seeking a Senior Software Engineer to work on AI solutions for infrastructure delivery. You will develop backend systems, ensure ML models run reliably, and collaborate across teams.
The ideal candidate has a relevant degree, strong programming skills in Python, and experience with ML deployment.
Join us to make a positive impact and thrive in a dynamic work environment offering flexible work options and competitive benefits.
Senior Software Engineer - AI for Infrastructure (Hybrid) employer: AECOM
Contact Detail:
AECOM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - AI for Infrastructure (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects, especially those involving Python and ML. This is your chance to demonstrate your expertise in backend systems and AI solutions.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving coding challenges and brushing up on ML deployment scenarios. We want to be confident when discussing how we can contribute to their infrastructure delivery.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team and making a positive impact.
We think you need these skills to ace Senior Software Engineer - AI for Infrastructure (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with ML deployment. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your experience can contribute to AI solutions for infrastructure delivery. We love seeing candidates who take the time to connect their skills to our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and experiences that relate to the job.
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 AECOM
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant frameworks or libraries. Be prepared to discuss your previous projects, especially those involving ML deployment, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. Practice explaining your thought process clearly and logically, as this will demonstrate your ability to think critically and solve problems effectively.
✨Collaboration is Key
Since the role involves working across teams, be ready to discuss how you've successfully collaborated in the past. Share examples of how you’ve communicated with non-technical stakeholders or worked in cross-functional teams to deliver AI solutions.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s approach to AI in infrastructure. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and work style.
