Sr. Machine Learning Engineer (MLE)
Tasks
- Apply NLP and document analysis techniques
- Build and deploy machine learning models
- Certify releases for performance and customer experience
- Communicate technical concepts to non-technical stakeholders
- Create dashboards and visualizations
- Design ML pipelines and architectures
- Develop data models and data wrangling strategies
- Develop test strategies for ML models
- Drive data discovery initiatives
- Identify high value AI use cases with stakeholders
- Implement ML frameworks using Python
- Integrate solutions with Big Data technologies
- Translate model outputs into recommendations
Perks/Benefits
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid Holidays
- Paid vacation
- Retirement savings plans
Skills/Tech-stack
Apache Hadoop | Apache Kafka | Apache Spark | Big Data | Data Modeling | Data Visualization | Data Wrangling | Generative AI | Language Processing | Machine Learning | Model Deployment | NLP | Natural Language | Natural Language Processing | Predictive Analytics | PyTorch | Python | TensorFlow | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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