What are the responsibilities and job description for the Senior Lead Software Engineer for AI/ML position at JPMorgan Chase?
As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking Technology in Payments Team, you will play a crucial role in our growing technology team, concentrating on providing prompt AI/ML solutions to cater to escalating business needs. Collaborating closely with diverse teams, you will design, develop, and deploy machine learning models and AI-powered applications that improve our payment technology services.
Job Responsibilities
- Collaborate with product managers, data scientists, and software engineers to understand business requirements and translate them into technical solutions.
- Design, develop, and deploy scalable platform applications for payment technologies.
- Optimize and maintain existing AI/ML models to improve performance and accuracy.
- Conduct data analysis and preprocessing to ensure high-quality input for 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 (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data processing and analysis tools (e.g., Pandas, NumPy, SQL).
- 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 problem-solving 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 non-technical stakeholders.
Preferred qualifications, capabilities, and skills
- Experience in the Investment banking industry, particularly in payments technology.
- 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 real-time data processing.
