Python Software Engineer III - AI/ML

JPMorgan Chase-posted 3 months ago
Mid Level
Houston, TX
Credit Intermediation and Related Activities
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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 Commercial and Investment Bank organization, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products that are secure, stable, and scalable. Your responsibilities include implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm's business objectives.

  • Engages in platform engineering to enable the Gen AI platform, develop Gen AI use cases, LLM fine-tuning, and multi-agent orchestration
  • Builds machine learning pipelines using Generative AI models on AWS and implements best practices in software engineering, MLOps, and data governance
  • Maintains consistent code check-ins every sprint for continuous integration and development
  • Ensures AI/ML solutions comply with data privacy and security regulations
  • Shares technical concepts and solutions across all organizational levels while proactively working to understand key business problems and processes
  • Executes tasks throughout the model development process, including data wrangling, analysis, model training, testing, and selection
  • Generates and presents structured insights from data analysis and modeling exercises tailored to the audience
  • Conducts ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups
  • Collaborates with engineers to build and deploy solutions for business requirements
  • Identifies and addresses AI/ML/LLM/GenAI challenges, implement optimizations, and fine-tune models for optimal performance in Natural Language Processing (NLP) applications
  • Works with the OpenAI API, including prompt engineering, vector databases, and AI agents
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Proficient coding experience in Python and relevant libraries (TensorFlow, PyTorch, scikit-learn)
  • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API
  • Expertise in data wrangling, including understanding, cleaning, reshaping, and joining complex datasets using Python
  • Advanced knowledge in software engineering, AI/ML, MLOps, and data governance
  • Expertise in AWS cloud services, including ECS, RDS, DynamoDB, S3, Lambda, SageMaker, and EC2
  • Experience with cloud computing platforms (AWS, Azure, or Google Cloud Platform), containerization technologies (Docker and Kubernetes), microservices design, and performance optimization
  • Demonstrated experience with Natural Language Processing (NLP), including tokenization, embedding's, sentiment analysis, and basic transformers for text-heavy datasets
  • Experience with LLM & Prompt Engineering, including tools such as LangChain, LangGraph, and Retrieval-Augmented Generation (RAG)
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects
  • Demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business-critical machine learning models in production
  • Familiarity with Java and React
  • Experience with big data frameworks, with a preference for Databricks
  • Experience with databases, including SQL (Oracle, Aurora), and Vector DB
  • Familiarity with version control systems such as Bitbucket and GitHub
  • Proficient knowledge of graph analytics and neural networks
  • Experience working with engineering teams to operationalize machine learning models
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