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- Tasks: Develop and implement innovative tech solutions in AI/ML for financial services.
- Company: Leading financial services firm with a focus on diversity and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a collaborative team and work on impactful projects in cutting-edge technology.
- Qualifications: 5+ years in software engineering, expertise in Python and cloud-native data engineering.
- Other info: Dynamic environment with a strong emphasis on teamwork and creativity.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services firm is seeking a Software Engineer III to develop and implement innovative technology solutions in their Corporate and Investment Bank Markets Research Technology team. This hands-on role requires 5+ years of experience in software engineering and knowledge of cloud-native data engineering, Python programming, and modern big data technologies.
Join a collaborative environment that values diversity and innovation, contributing to impactful projects in AI/ML engineering.
Senior Python AI/ML Engineer - Cloud & Data Platforms employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python AI/ML Engineer - Cloud & Data Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI/ML or cloud technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any AI/ML work you've done. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around cloud-native data engineering and big data technologies. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Python AI/ML Engineer - Cloud & Data Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python programming and cloud-native data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML engineering and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you’ve worked on any innovative technology solutions or impactful projects, make sure to mention them! We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially in the financial services sector.
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 shows you’re keen on joining our awesome team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python programming, especially in the context of AI/ML projects. Prepare to showcase specific examples where you've used Python to solve complex problems.
✨Familiarise Yourself with Cloud Technologies
Since this role involves cloud-native data engineering, it’s crucial to understand the cloud platforms relevant to the job. Research the specific technologies the company uses and be prepared to discuss how you've implemented solutions in a cloud environment.
✨Showcase Your Big Data Knowledge
The job requires knowledge of modern big data technologies, so make sure you can talk about your experience with tools like Hadoop, Spark, or similar. Think of instances where you've leveraged these technologies to drive results in your previous roles.
✨Emphasise Collaboration and Innovation
This position values a collaborative environment, so be ready to share examples of how you've worked effectively in teams. Highlight any innovative solutions you've contributed to in past projects, especially those that had a significant impact on AI/ML engineering.
