At a Glance
- Tasks: Lead AI/ML projects and develop high-quality applications using Python.
- Company: Join J.P. Morgan, a leader in corporate and investment banking.
- Benefits: Competitive salary, diverse workplace, and opportunities for growth.
- Other info: Mentor junior engineers and collaborate with top AI experts.
- 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.
J.P. Morgan is an equal opportunity employer and places a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Lead Software Engineer - Applied AI/ML Python Engineer employer: Fairygodboss
At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the Corporate and Investment Banking sector. Our Lead Software Engineers in Applied AI/ML are not only at the forefront of technological advancement but also benefit from extensive professional development opportunities, mentorship programmes, and a commitment to diversity and inclusion. Located in a vibrant city, our team enjoys a supportive environment that encourages creativity and growth while making a significant impact on the operations of the world's largest bank.
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 at J.P. Morgan or similar firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI/ML. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud infrastructure. Practice common algorithms and system design questions to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
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 reflects the skills and experiences that match the Lead Software Engineer role. Highlight your Python expertise, cloud experience, and any MLOps knowledge to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI/ML and how you envision transforming banking operations. Let us know why you're the perfect fit for our team.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with APIs, cloud solutions, or any AI/ML applications. We love seeing what you've accomplished!
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 Fairygodboss
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Kubernetes, and AWS. Brush up on your knowledge of MLOps and Terraform too. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar with them, but that you can actually apply them in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Scientists and other teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where you integrated AI/ML solutions or mentored junior team members, as this will demonstrate your ability to lead and work within a team.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges related to cloud infrastructure or API development. Think through potential scenarios beforehand and be ready to explain your thought process and decision-making. This will help you stand out as someone who can think critically and strategically.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the company’s approach to AI/ML integration, or how they measure success in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
