Python Data Engineer III- Machine Learning
Python Data Engineer III- Machine Learning
Posted on :
02-05-2025
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1 Vacancy
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Job Description
Description
As a Data Engineer III at JPMorgan Chase within the Developer Platforms and Insights team youserve as a seasoned member of an agile team to design and deliver trusted data collection storage access and analytics solutions in a secure stable and scalable way. You are responsible for developing testing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives.
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III at JPMorgan Chase within the Developer Platforms and Insights team youserve as a seasoned member of an agile team to design and deliver trusted data collection storage access and analytics solutions in a secure stable and scalable way. You are responsible for developing testing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Design develop and deploy machine learning models to solve complex business problems.
- Collaborate with crossfunctional teams to integrate ML models into production systems.
- Utilize PyTorch Scikitlearn NumPy and Pandas for data analysis and model development.
- Develop and maintain APIs for model deployment and integration.
- Finetune large language models to enhance performance and accuracy.
- Apply deep learning architectures such as LSTMs and Transformers to relevant projects.
- Stay updated with the latest advancements in generative AI and implement innovative solutions.
- Conduct statistical analysis to support model development and validation.
Required qualifications capabilities and skills
- Formal training or certification on Data engineering concepts and applied experience
- cProven experience in building and deploying machine learning models.
- Handson experience with PyTorch Scikitlearn NumPy and Pandas.
- Proficient in Python programming language and building APIs.
- Solid understanding of statistics and machine learning theory.
- Experience with deep learning architectures including LSTMs and Transformers.
- Experience in finetuning large language models.
- Knowledge of generative AI (GenAI) technologies.
- Strong problemsolving skills and the ability to work independently and collaboratively.
- Excellent communication skills to convey complex technical concepts to nontechnical stakeholders.
Preferred qualifications capabilities and skills
- Experience with cloud platforms such as AWS Google Cloud or Azure.
- Familiarity with version control systems like Git.
- Experience in deploying models using containerization technologies like Docker.
Employment Type
Full-Time
Key Skills
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