You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you!

As a Junior AI/ML Software Engineer at JPMorgan Chase within Corporate Technology, you will be part of an agile team that works to design & implement machine learning based news analytics capabilities that are leveraged systematically by thousands of business users across the firm! In this established applied AI/ML team, you will contribute to the end-to-end software & model development lifecycle and collaborate with a range of business and technology stakeholders while working with modern Python-centred technology stack and public cloud infrastructure.

Job responsibilities

• Executes standard software solutions, including design, development, and technical troubleshooting
• Writes secure and high-quality code in Python with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience
• 1-3 years of relevant experience
• Awareness of or interest in machine learning technology
• Demonstrable analytical thinking
• Experience with Python programming
• Some exposure to software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.)

Preferred qualifications, capabilities, and skills

• Practical experience developing or working with natural language processing models
• Exposure to public cloud technologies including containerized microservice deployment