Lead AI/ML Software Engineer - Core Platform Engineering
Lead AI/ML Software Engineer - Core Platform Engineering
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Job Description
If you are excited about shaping the future of technology and driving significant business impact in financial services we are looking for people just like you. Join our team and help us develop gamechanging highquality solutions.
As a Lead Software Engineer atJPMorgan Chasewithin theConsumer and Community BankingCore Platform Engineering you will play a crucial role in our growing technology team concentrating on providing prompt AI/ML solutions to cater to escalating developer and business needs. Collaborating closely with diverse teams you will design develop and deploy GenAIpowered applications that improve developers and knowledge workers productivity.
Job Responsibilities
- Collaborate with product managers architects and software engineers to understand business requirements and translate them into technical solutions.
- Design develop and deploy scalable platform applications for core platform engineering
- Optimize and maintain existing AI/ML models to improve performance and accuracy.
- Conduct data analysis and preprocessing to ensure highquality input for RAG and model training.
- Manage project prioritization and leading regular technology meetings with different stake holders
- Participate in code reviews and contribute to a culture of continuous improvement and innovation.
- Provide technical guidance and mentorship to global team members.
Required qualifications capabilities and skills
- Formal training or certification on Computer Science Engineering Mathematics concepts and 5 years applied experience
- Proven experience as an AI/ML Engineer or similar role with a strong portfolio of successfully deployed models.
- Proficiency in programming languages such as Python R or Java with a focus on AI/ML libraries and frameworks Proficiency with cloud platforms and services (e.g. AWS Azure Google Cloud) for deploying AI/ML solutions.
- Strong understanding of machine learning algorithms data structures and software design principles.
- Excellent problemsolving skills and the ability to work independently and as part of a team.
- Strong communication skills with the ability to explain complex technical concepts to nontechnical stakeholders.
Preferred qualifications capabilities and skills
- Familiarity in Java full stack and DevOps practices and tools for continuous integration and deployment.
- Experience with big data technologies (e.g. Hadoop Spark) and realtime data processing.
- Experience with data processing and analysis tools (e.g. Pandas NumPy SQL).
Employment Type
Full-Time
