Sr Machine Learning Engineer
US - Texas - Houston - Field/Remote, United States
R
USD 156K-211K Senior-level Full Time
Tasks
- Build and maintain MLOps pipelines
- Build and scale machine learning models
- Collaborate with data scientists on model development and evaluation
- Conduct A/B testing and experimentation
- Develop and deploy machine learning models
- Implement mlops and devops best practices
- Monitor model performance
- Work with data scientists engineers and product teams to deliver ML solutions
Perks/Benefits
- Award-winning time-off plans
- Comprehensive benefits package
- Flexible work models
- Life and disability insurance
- Remote and hybrid work
- Retirement and savings plan
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Airflow | Azure | B testing | CI/CD | Data Ingestion | Docker | Experimentation | Feature Engineering | Google Cloud | Hadoop | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | NLP | PyTorch | Python | Scikit-learn | Sentiment Analysis | Series forecasting | Spark | TensorFlow | Time Series | Time Series Forecasting
Education
Associate Degree | Bachelor of Science | Doctorate Degree | High School Diploma | Master of Science
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