Job Description
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 Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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. Develop and implement AI/ML models and algorithms to solve business problems and integrate them into traditionally developed software products. Train and evaluate AI/ML models using large datasets.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.Optimize and fine-tune AI/ML models for performance and accuracy.
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Demonstrated experience in applied AI/ML engineering.
- Programming skills in Python, with experience in developing and maintaining production-level code
- Proficiency in working with large datasets and data preprocessing.
- Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing.
- Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models.
- Experience with ETL tools such as Airflow.
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript
- Knowledge of SRE practices
- Experience working with AWS EKS, ECS, RDS and DynamoDB. Exposure to cloud automation technologies such as Terraform
- Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, opensource Hugging Face Models)
