What are the responsibilities and job description for the DevOps Engineer – Data, Machine Learning position at Computer Enterprises, Inc.?
Job Details
DevOps Engineer – Data, Machine Learning
Phila., PA 19103 or Washington, DC 20005
$65.00 - 72.00/hr W2
Top Skills:
Description:
#INDCEI
Phila., PA 19103 or Washington, DC 20005
$65.00 - 72.00/hr W2
Top Skills:
- Kubernetes/Containers
- Apache Airflow for building data pipelines
- Python
- Machine learning knowledge for support of DevOps in production
Description:
- The Applied AI group for Global Entertainment Engineering organization is seeking a passionate and skilled Senior Software Engineer with expertise in designing and implementing scalable data pipelines powering a voice platform used by millions of people every day across the world.
- We create the technology that powers the voice remote and allows our customers to interact with their TV to do things like search for content control connected devices or find entertainment-related information.
- As a member of the Content Retrieval team you will focus on building scalable real-time data pipelines and feedback loops that help us train tune and evaluate the models serving production traffic as well as the architecture that supports this. We own the full process for taking an idea from a prototype to production.
- You will collaborate with the team to identify the best solution to a problem implement it deploy it and continuously monitor its performance.
- The ideal candidate has experience with building and maintaining data pipelines using industry-leading tools like Airflow and Databricks
- Assist in the development and implementation of information retrieval systems including search algorithms ranking models and indexing strategies.
- Work as part of a team of software engineers in conjunction with product stakeholders to understand business objectives define technical requirements and build features for a content retrieval platform.
- Collaborate with cross-functional teams to verify the quality of ingested data ensuring it meets the standards necessary for effective information retrieval processes.
- Design and implement scalable cloud infrastructure using Docker and Kubernetes to support the deployment and operation of the information retrieval platform ensuring high availability and performance for search services.
- Collaborate with teammates and contribute to design discussions project planning and code reviews.
- Resolve technical issues through debugging research and investigation.
- Rely on experience and judgment to plan and accomplish goals.
- Demonstrate a keen sense of responsibility and accountability towards the team’s work its quality and timely delivery.
- Stay up-to-date with the latest trends and technologies in cloud infrastructure and apply that knowledge to improve internal systems
#INDCEI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $65 - $72
