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- Tasks: Lead the development of innovative AI/ML solutions using Python and AWS.
- Company: Join a global financial services firm at the forefront of technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Make a real impact by shaping the future of financial technology.
- Qualifications: Bachelor's degree in Computer Science and experience in software engineering required.
- Other info: Collaborative environment with a focus on problem-solving and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A global financial services firm is seeking a Lead Software Engineer who specializes in AWS and Python, focusing on innovative machine learning solutions. This position requires collaboration with data scientists and engineering communities to develop and maintain high-quality applications.
Responsibilities include:
- Leading design discussions
- Ensuring system reliability
- Integrating AI/ML solutions
A Bachelor's degree in Computer Science or a related field is required along with relevant experience. The role emphasizes problem-solving and communication skills.
Lead Python & AWS AI/ML Cloud Engineer employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Python & AWS AI/ML Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AWS and Python. Join relevant online communities or attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML solutions. 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 problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with AWS and Python. We want you to shine during those technical discussions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Python & AWS AI/ML Cloud Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS, especially in AI/ML projects. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Collaboration Skills: Since this role involves working closely with data scientists and engineers, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills. Be ready to discuss specific projects where you've implemented machine learning solutions. The more you can demonstrate your technical expertise, the better you'll impress the interviewers.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and engineering teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you led design discussions or contributed to team projects.
✨Problem-Solving Mindset
Expect to face some problem-solving scenarios during the interview. Practice articulating your thought process clearly when tackling complex issues. This will show that you can think critically and approach challenges methodically.
✨Communicate Effectively
Strong communication skills are key for this position. Practice explaining technical concepts in a way that's easy to understand. This will not only help you connect with the interviewers but also demonstrate your ability to convey ideas to non-technical stakeholders.
