Senior Full-Stack AI/ML Engineer: Data Pipelines & Cloud

RiseMe; New York (NY); On-site; USD 75,000 - 97,000; Full time

Benefits offered by this job

Vacation days

Health insurance

Retirement plan

Paid time off

Job summary

Capgemini in the United States seeks a senior data engineering specialist to design and deploy data pipelines and AIML data solutions, including support for model development and productionization. You will work with Python and SQL to build data architectures and integrate data-centric APIs and microservices on cloud platforms such as AWS and Azure, in a collaborative Agile environment.

Strong analytical skills and a willingness to learn new technologies are essential for success.

Qualifications

• Bachelor's degree or equivalent in a technology related field such as Computer Science or Engineering.
• 5 to 9 years of demonstrable experience in full stack engineering.
• Experience designing, building, and deploying data pipelines ETL/ELT workflows and AIML data solutions.

Responsibilities

• Design and deploy data pipelines and AIML data solutions including support for model development and productionization.
• Design and consume data-centric APIs and microservices to support AIML model integration and analytics use cases.
• Collaborate in a multi-developer Agile environment, following coding standards and DevOps practices.

Skills

Python

SQL

ETL/ELT

APIs

Microservices

Data pipelines

Cloud platforms

AWS

Azure

Snowflake

Education

Bachelor's degree

Tools

Snowflake

Job description

Capgemini in the United States seeks a senior data engineering specialist to design and deploy data pipelines and AIML data solutions, including support for model development and productionization. You will work with Python and SQL to build data architectures and integrate data-centric APIs and microservices on cloud platforms such as AWS and Azure, in a collaborative Agile environment.

Strong analytical skills and a willingness to learn new technologies are essential for success.