Machine Learning Operations Engineer/MLOPS
Thomas Ren Associates
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
Artificial Intelligence
Artificial Neural Networks
Cluster Analysis
Information Engineering
DevOps
Github
R
Python
Logistic Regression
Machine Learning
SAS (Software)
SQL Databases
PySpark
Machine Learning Operations
Data Pipelines
Docker
Programming Languages
Job description
Machine Learning Operations Engineer opportunity. You will build and maintain the infrastructure for AI and ML models, focusing on data pipelines, automation, and deployment. This role lives between data engineering and machine learning
Key Skills and Experience:
- Previous experience in tuning and deploying machine learning methods
- Experience of the following predictive modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering
- Experience in DevOps, or other MLOps and ML Lifecycle stacks
- Experience with Docker and Kubernetes
- Experience in creating production grade coding
- Experience in programming languages (eg Python, PySpark, R, SAS, SQL)
- Experience in GitHub
- Strong communication skills both verbally and written
Requirements
- Previous experience in tuning and deploying machine learning methods
- Experience of the following predictive modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering
- Experience in DevOps, or other MLOps and ML Lifecycle stacks
- Experience with Docker and Kubernetes
- Experience in creating production grade coding
- Experience in programming languages (eg Python, PySpark, R, SAS, SQL)
- Experience in GitHub
- Strong communication skills both verbally and written
