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- Tasks: Join an agile team to design and deliver innovative AI/ML technology solutions.
- Company: JPMorgan Chase, a leader in financial services with a focus on technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in the tech world while working with cutting-edge AI/ML technologies.
- Qualifications: 5+ years of software engineering experience and proficiency in coding, preferably Python.
- Other info: Dynamic work environment with a strong culture of diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across various technical domains to support the firm's business objectives. You will engage in challenging projects involving Cloud-native data, backend engineering, and AI/ML engineering, contributing to the industrialization of AI/ML models at a production scale. This position is a hands-on engineering role, where experience with data science or machine learning modeling is beneficial but not mandatory.
Job responsibilities:
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps.
- Designs and implements data engineering solutions, leveraging modern big data technologies.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
- Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years proficient applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficient in coding in one or more languages (Python preferably).
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle.
- Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications.
- Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies.
- Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments.
- Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps.
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds.
Preferred qualifications, capabilities, and skills:
- Experience with data, AWS and AIML engineering in commercial settings.
- Experience working on Production scale AI/ML systems.
- Practical experience with Kubernetes, EKS, Docker, Terraform, MLOps.
- Prior exposure to LLMs, RAG, OpenSearch and vector databases.
- Prior experience collaborating with data scientists.
Software Engineer III - AI/ML employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer III - AI/ML
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML and software engineering. We love seeing real-world applications of your work, so make sure to highlight your best stuff.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in the tech world.
We think you need these skills to ace Software Engineer III - AI/ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI/ML, cloud services, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about software engineering and how your background aligns with our needs. Be sure to mention any hands-on experience you have with data engineering or machine learning.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving AI/ML or cloud technologies, make sure to include them in your application. We love seeing practical examples of your work and how you tackle challenges!
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 able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and cloud services like AWS. Brush up on your knowledge of data engineering and AI/ML concepts, as you'll want to demonstrate your understanding of how these fit into the bigger picture.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical problems. Think about times when you had to think outside the box to deliver a solution, as this role values innovative thinking and practical experience in system design.
✨Communicate Clearly
Practice explaining your design choices and technical decisions in a way that’s easy for non-technical stakeholders to understand. This will show that you can bridge the gap between technical and non-technical team members, which is crucial in a collaborative environment.
✨Embrace the Culture
Familiarise yourself with the company’s values around diversity, inclusion, and respect. Be ready to share how you’ve contributed to a positive team culture in the past, as they’re looking for someone who aligns with their ethos and can enhance team dynamics.
