Lead Software Engineer - Machine Learning Engineer
Lead Software Engineer - Machine Learning Engineer
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$ 152000 - 215000
1 Vacancy
Job Description
Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.
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 Senior Lead Software/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
- Architects and implements distributed ML experimentation and training platform for firm-wide use.
- Designs 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
- Designs thoughtful data scientist experience in delivering AI experience APIs and SDKs for the 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 5 years applied experience
- Advanced knowledge of architecture design and software development processes.
- Deep 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
- Expert programming skills in at least 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
- Background in high performance computing and ML hardware acceleration
- Track record of contributing to open-source ML frameworks
- Knowledge of Kubernetes ecosystem including EKS Helm and Custom Operators
Employment Type
Full-Time
