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- Tasks: Lead AI/ML projects, develop robust APIs, and mentor junior engineers.
- Company: Join the world's largest bank and innovate in AI/ML.
- Benefits: Competitive salary, flexible work options, and career growth opportunities.
- Other info: Dynamic team environment with a focus on best practices and automation.
- Why this job: Transform banking operations with cutting-edge AI/ML technology.
- Qualifications: Experience in Python, Kubernetes, and cloud platforms like AWS.
The predicted salary is between 80000 - 100000 £ per year.
Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking. You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries.
Job Responsibilities
- Develop and maintain high-quality applications using Python.
- Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS.
- Design and deploy solutions with MLOps best practices.
- Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems.
- Mentor and guide junior team members, lead initiatives to promote best practices and automation.
- Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance.
Required Qualifications, Capabilities and Skills
- Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts.
- Proven hands-on experience with Python and Kubernetes or ECS.
- Experience with cloud platforms such as AWS.
- Ability to work independently to understand and integrate with other systems within a bank.
- Excellent communication and collaboration skills.
Preferred Qualifications, Capabilities and Skills
- Practical understanding of MLOPS.
- Hands-on experience with Terraform.
Lead Software Engineer - Applied AI/ML Python Engineer employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Applied AI/ML Python Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in AI/ML. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding MLOps best practices. Practice common algorithms and system design questions to impress during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Software Engineer - Applied AI/ML Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and Kubernetes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Lead Software Engineer position and how your background in AI/ML can contribute to our team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working closely with Data Scientists and other teams, make sure to mention 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 for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team at StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with Kubernetes, AWS, and MLOps concepts. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Data Scientists and other teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication style and how you ensure everyone is on the same page.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design systems on the spot. Practice articulating your thought process clearly, as this will demonstrate your problem-solving abilities and technical expertise.
✨Mentorship Matters
As a lead, you'll be guiding junior team members. Think of instances where you've mentored others and be ready to share your approach to fostering growth and best practices within a team.