Python Software Engineer III AIML
Python Software Engineer III AIML
Posted on :
01-10-2025
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1 Vacancy
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Job Description
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 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 firms business objectives.
Job responsibilities
- 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
Required qualifications capabilities and skills
- 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 embeddings 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
Preferred qualifications capabilities and skills
- 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
Employment Type
Full-Time
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