We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software engineer at JPMorgan Chase within the CTO AI2 team you help us with the design, development, deployment, delivery and maintenance of AI products to our clients. In this role, you will be working with other engineers & research scientists in building & maintaining an infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production.
The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow.
Job Responsibilities
- Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation).
- Contribute significantly to architecture and software management discussions & tasks
- Rapid prototyping & shorten development cycles for our software and AI/ML products:
- Build and maintain scalable infrastructure as code in the cloud (private & public) for efficient software and AI/ML products development
- Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization
- Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors.
- Increase our deployment velocity, including the process for deploying models and data pipelines into production. Improve the process creating dependable & predictable releases.
Required qualifications, capabilities and skills
- Minimum Bachelor of Science degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
- Proven programming/scripting skills with multiple modern programming languages including Python, Java and similar.
- Significant work-related experience in professional software development.
- Significant experience in cloud infrastructure such as AWS, GCP or Azure.
- Excellent software design, problem solving and debugging skills.
- Strong interpersonal skills; able to work independently as well as in a team
- Experience with database systems such as Elasticsearch, DynamoDB, BigQuery, Postgres, Cassandra, Redis.
Preferred qualifications, capabilities, and skills
- Experience working closely with data scientists and/or ML engineers in designing & building out auto-scaling ML systems.
- Experience with deep learning frameworks such as TensorFlow or Pytorch.
- Experience with data labelling, validation, provenance and versioning.
- You believe in continuous learning, sharing best practices, encouraging and elevating less experienced colleagues as they learn.
- Experience working with microservices tools and orchestration engines such as GitLab, Ansible/Terraform/Chef/Puppet, Docker, Kubernetes, Mesos/Marathon.
- Familiar with messaging tools such as Apache Airflow, Kafka, etc.
- Familiar with monitoring tools such as Prometheus, Grafana, Splunk and Datadog