Software Engineer III - Fullstack React Python
Software Engineer III - Fullstack React Python
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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 Consumer & Community Banking you serve as a seasoned member of an agile team to design and deliver trusted marketleading 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 firms business objectives.
Job responsibilities
- Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
- Deploy solutions into public cloud (AWS or Azure) infrastructure.
- Experiment develop and productionize high quality machine learning models services and platforms to make a huge technology and business impact.
- Write code to create several machine learning experimentation pipelines.
- Design and implement feature engineering pipelines and push them to feature stores.
- Analyze large datasets to extract actionable insights and drive datadriven decisionmaking.
- Ensure the scalability and reliability of AI/ML solutions in a production environment.
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and 3 years applied experience
- Proficient in coding in Javascript ReactJS HTML and CSS.
- Proven experience as a frontend developer with a strong focus on ReactJS and Typescript.
- Technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability
- Proficiency in programming languages such as Python Java etc.
- Fullstack experience API development including JavaScript frameworks such as React would be highly valuable
- Experience in using GenAI (OpenAI or AWS Bedrock) to solve business problem.
- Experience with large scale training validation and testing
- Experience and skills in training and deploying ML models on AWS SageMaker or Bedrock
- Experience in machine learning frameworks such as TensorFlow PyTorch Pytorch Keras or Scikitlearn.
- Familiarity with cloud platforms (AWS) and containerization technologies (Docker Kubernetes Amazon EKS ECS).
Preferred qualifications capabilities and skills
- Expert in at least one of the following areas: Natural Language Processing Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
- Knowledge of machine learning frameworks: Pytorch Keras MXNet ScikitLearn as well as LLM frameworks such as LangChain LangGraph etc
- Understanding of finance or investment banking businesses is an added advantage
Employment Type
Full-Time
