Role: MLOPS Engineer or DEVOPS LEAD WITH MLOPS Exp.
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, APLOMB Technologies, is seeking the following. Apply via Dice today!
Role: MLOPS Engineer or DEVOPS LEAD WITH MLOPS Exp.
Visa: OPT/CPT/H1B/EAD/USC
Exp: 8+ Yrs. With MLOPS at least 5+
Location: Dallas, TX Hybri
JD:
Experience in AWS system and network architecture design, with specific focus on AWS Sagemaker and AWS ECS
Experience developing and maintaining ML systems built with open source tools
Experience developing with containers and Kubernetes in cloud computing environments
Experience with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo)
Design the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale
Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
Support model development, with an emphasis on auditability, versioning, and data security
Experience with data security and privacy solutions such as Denodo, Protegrity, and synthetic data generation.
Ability to develop applications using Python and deploy to AWS Lambda and API Gateway
Ability to develop Jenkins pipelines using the groovy scripting.
* Good understanding in testing frameworks like Py/Test.
Ability to work with AWS services like S3, DynamoDB, Glue, Redshift and RDS
Proficient understanding of Git and version control systems
Familiarity with continuous integration and continuous deployment.
Develop the terraform modules to deploy the standard infrastructure.
Ability to develop the deployment pipelines using the Jenkins, XL Release
Experience in Python boto3 to automate the cloud operations.
Experience in documenting technical solutions and solution diagrams
Good understanding of the simple python applications which can be deployed as a docker container.
Experiencing in creating workflows using AWS step functions
Create the docker images using the custom PYTHON libraries.
