Machine Learning/Azure Engineer
Apply NowCompany: Codeforce360
Location: Eden Prairie, MN 55347
Description:
Career Opportunity:
Job Title: Machine Learning/Azure Engineer
About CodeForce 360
Making a career choice is amongst the most critical choices one can make, and it's important for the choice to be calculated with factors such as a company's run of success since its inception and more. But, when you come across a company that has reputation proven with nothing but an illustrious run of success since the day it began, you don't need to think of anything else. That's precisely what some of our employees and prospective employees think when they came across CodeForce 360.
Position Overview
Machine Learning/Azure Engineer
Requirements:
Tech Stack:
How to Apply
Job ID: JPC - 52384
For more information, please contact below:
Niharika Bollaboina
470-297-0384
470 297-0463
Qualified individuals will be contacted for an interview.
Job Title: Machine Learning/Azure Engineer
About CodeForce 360
Making a career choice is amongst the most critical choices one can make, and it's important for the choice to be calculated with factors such as a company's run of success since its inception and more. But, when you come across a company that has reputation proven with nothing but an illustrious run of success since the day it began, you don't need to think of anything else. That's precisely what some of our employees and prospective employees think when they came across CodeForce 360.
Position Overview
Machine Learning/Azure Engineer
Requirements:
- Experience with MLOps and Azure cloud environment (resource configuration, optimization).
- Experience with ML Studio and DataBricks (including pyspark).
- Experience working with delta lake.
- Experience with Python (basic data structures, coding patterns) coding along with knowledge in common data, math and visualization libraries.
- Experience building workflows involving machine learning models in production.
- Experience training models.
- What do the models do or achieve.
- Experience with common machine learning techniques such as pre-processing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.
- Work with data scientists to productionalize ML models and assist product teams with ML model releases into end products.
- Create automation to support ML model retraining and maintenance.
- Ability to solve complex problem with multi-layered data sets and optimize existing ML libraries and framework.
- Knowledge of ML frameworks, libraries, data structure, data modeling and software architecture.
Tech Stack:
- Azure.
- Machine Learning (open to a Azure SME with no machine learning) - open to book experience.
- Pyspark.
- DeltaLake.
- Python.
How to Apply
Job ID: JPC - 52384
For more information, please contact below:
Niharika Bollaboina
470-297-0384
470 297-0463
Qualified individuals will be contacted for an interview.