drjobs Principal Software Engineer - AI/ML Data Platforms

Principal Software Engineer - AI/ML Data Platforms

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Seattle - USA

Monthly Salary drjobs

$ 204250 - 285000

Vacancy

1 Vacancy

Job Description

Description

If you are looking for a game-changing career working for one of the worlds leading financial institutions youve come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Corporate AI/ML Data Platforms Team you will bring your expertise and engineering excellence to an agile team focusing on enhancing building and delivering trusted market-leading technology products in a secure stable and scalable manner. You will leverage your advanced technical skills and collaborate with colleagues across the organization to achieve best-in-class outcomes across various technologies supporting one or more of the firms portfolios.

Job responsibilities

  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high-quality production code and reviews and debugs code written by others
  • Advises cross-functional teams on technological matters within your domain of expertise
  • Serves as the functions go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable reusable software frameworks that are leveraged across teams and functions
  • Influences leaders and senior stakeholders across business product and technology teams
  • Champions the firms culture of diversity opportunity inclusion and respect
  • Lead the development of the next generation AI/ML-features for training and experimentation across traditional and gen AI that are tailored towards data scientists and ML/AI engineers.
  • Elevate the overall engineering and applied science culture and practices across the organization and the firm.
  • Represent the organization through external and internal talks and conferences.

Required qualifications capabilities and skills

  • Formal training or certification on software engineering concepts and 10 years applied experience
  • Hands-on practical experience delivering system design application development testing and operational stability
  • Expert in one or more programming language(s)
  • Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. cloud artificial intelligence machine learning mobile etc.)
  • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
  • Experience leading a product as a Product Owner or Product Manager
  • Ability to present and effectively communicate with Senior Leaders and Executives
  • Understanding of the business
  • Practical cloud native experience
  • Experience in Computer Science Computer Engineering Mathematics or a related technical field
  • 5 years of experience working with Machine Learning AI Large Language Models (LLM) infrastructure especially with training model development and other requests.
Preferred qualifications capabilities and skills
  • or Ph.D in CS or any related field.
  • Expertise in Machine Learning frameworks like Python Scikit-learn PyTorch TensorFlow Apache Spark and experience with Generative AI models like GANs Transformers and Diffusion Models.
  • Knowledge of MLOps best practices around model training evaluation deployment and governance. Ability to communicate and help clients operationally set up MLOps functions.
  • Experience integrating ML solutions with cloud platforms like AWS SageMaker GCP Vertex AI Azure Cognitive Services and leveraging their pre-built capabilities.
  • Proficiency in ML workflow tools like Kubeflow and MLflow for experiment tracking model management and model serving.
  • Ability to identify and articulate the business value of AI/ML to stakeholders using innovative techniques like AI Readers AI Assistants Agentic frameworks etc
  • Passion for AI/ML and ability to stay updated on the latest advancements through conferences publications cohorts etc. Experience in consulting sales engineering and/or customer success.



Required Experience:

Staff IC

Employment Type

Full-Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.