The Software Engineer III will design, develop, and implement AI/ML models and algorithms, create secure production code, and maintain data pipelines. Responsibilities include optimizing model performance, analyzing large datasets, and contributing to agile team efforts to enhance software solutions and architecture.
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
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. 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.
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Optimize and fine-tune AI/ML Design and develop data pipelines to preprocess and transform data for AI/ML models. models for performance and accuracy.
- 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.
- Exposure to cloud technologies
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. 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)
- Ability to assist in assessing and choosing suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tuning LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.
Top Skills
Java
Node.js
Python
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