Software Engineer II - AI/ML Engineer

You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within Employee Platforms, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way.

As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

We're looking for best in class software engineers keen to learn (or improve their skills in!) Python, AWS cloud services like SageMaker, EMR, EC2 etc, MLOps, Model deployment via MLOPs practices.

Job responsibilities


* Experience deploying and scaling distributed systems in a cloud environment (preferably AWS implementations).


* Advanced knowledge of application, data, and infrastructure architecture disciplines.


* Advanced knowledge of architecture and design across all systems and cloud computing environments.


* Strong Programming skills in Java, Python, Bash, Groovy and software engineering principles.


* Develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.


* Research, create and evaluate technical solution alternatives for the business needs.


* Strong understanding of network protocols and network security (systems design).


* Passionate about building an innovative and team centric culture.


* Ability to work in large, collaborative teams to achieve organizational goals.

Required qualifications, capabilities, and skills


* Proven experience as a Machine Learning Engineer or similar role.


* Expert level experience in ML SDLC, developing and productionizing Python and Java applications.


* Expert level hands on experience in deploying ML applications to AWS cloud using (SageMaker, EMR etc).


* Hands on experience in AWS apps such EMR,EC2,Lamda, SageMaker , Cloud Watch, S3 Data Lake.


* Strong knowledge in CI/CD pipelines and tools such as Jenkins, Spinnaker, Bitbucket, Splunk, CloudWatch, Grafana, Dynatrace, Terraform.


* Experience in deploying applications Kubernetes and AWS platform.


* Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).


* Familiarity with data pipelines, HADOOP, Hive, Redshift etc.

Preferred qualifications, capabilities, and skills


* Familiar with Databricks ML ecosystem (MLflow, DABS, CI/CD in databricks).


* Familiar with Databricks Feature store.


* Familiar with Databricks Genie AI.


* AWS certification ( Developer or Architect or ML Specialty).

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