MLOps Engineer
Apply NowCompany: Lorven Technologies Inc
Location: Orlando, FL 32828
Description:
Position : MLOps Engineer
Location: Remote
Details:- Help us automate the model deployment to the production systems.
Responsibilities:
Work on the received models from data scientists, create, use benchmarks and metrics to make ML systems available/accessible to the systems.
Ensure proper processing of training data using similar data pre-processing techniques to avoid discrepancies in model evaluation & performance.
Will work to ensure that system performance is not negatively impacted through continuous validation and monitoring.
Automate tasks using technologies such as Airflow and MLFlow.
Requirements:
A minimum of 4 years of experience in Data engineering.
Solid in Python with familiarity in popular ML libraries.
At Least 3+ years experience in model serving and pipelines.
Ability to write effective scalable and modular code.
Familiarity with Git workflows, CI CD and NoSQL Mongodb.
Familiarity with Airflow and MLflow is a plus.
Working knowledge of containers like kubernetes , dockers, in AWS
Location: Remote
Details:- Help us automate the model deployment to the production systems.
Responsibilities:
Work on the received models from data scientists, create, use benchmarks and metrics to make ML systems available/accessible to the systems.
Ensure proper processing of training data using similar data pre-processing techniques to avoid discrepancies in model evaluation & performance.
Will work to ensure that system performance is not negatively impacted through continuous validation and monitoring.
Automate tasks using technologies such as Airflow and MLFlow.
Requirements:
A minimum of 4 years of experience in Data engineering.
Solid in Python with familiarity in popular ML libraries.
At Least 3+ years experience in model serving and pipelines.
Ability to write effective scalable and modular code.
Familiarity with Git workflows, CI CD and NoSQL Mongodb.
Familiarity with Airflow and MLflow is a plus.
Working knowledge of containers like kubernetes , dockers, in AWS