Associate Software Engineer
Associate Software Engineer
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$ 133000 - 185000
1 Vacancy
Job Description
Are you ready to make a significant impact in the world of AI and machine learning At JPMorgan Chase In this role youll be a key player in an agile team dedicated to enhancing building and delivering market-leading technology products that are secure stable and scalable
As a Software Engineer III/Machine Learning Engineer at JPMorgan Chase within the Corporate Sector AIML Data Platforms Team you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Implements distributes ML experimentation and training platform for firm-wide use in accordance with the requirements and design.
- Implements and supports tools and workflows to facilitate machine learning experiments automated training runs and production deployments.
- Extends machine learning libraries and frameworks to support complex requirements.
- Delivers thoughtful data scientist experience with APIs and SDKs for the training platform.
- Collaborates with infrastructure engineering product management and security and compliance teams to deliver tailored robust solutions.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Knowledge of software development processes in an ML environment.
- Understanding and hands-on experience with public cloud technologies especially with AWS in the context of ML engineering workflows specifically featurization experimentation training and evaluation.
- Programming skills in Python and experience with ML frameworks and libraries such as TensorFlow PyTorch Scikit-Learn JAX etc.
- Hands-on experience implementing DevOps practices using tools such as Docker Jenkins Spinnaker and Terraform.
- Knowledge of Big Data and related technologies such as Hadoop Spark and Airflow.
Preferred qualifications capabilities and skills
- Knowledge of SageMaker EMR and AWS ML stack.
- Knowledge of Kubernetes ecosystem including EKS Helm and Custom Operators.
Required Experience:
IC
Employment Type
Full-Time
