Sr. Machine Learning Engineer (MLE)
Tasks
- Build and deploy machine learning models
- Create dashboards and visualizations for machine learning insights
- Design machine learning pipelines and architectures
- Develop data models and data wrangling strategies
- Develop test strategies for machine learning models
- Extract insights from design documents using NLP
- Identify high value AI use cases with stakeholders
- Integrate machine learning solutions with big data technologies
- Translate model outputs into business recommendations
Perks/Benefits
Skills/Tech-stack
Apache Kafka | Apache Spark | Batch Processing | Big Data | Dashboarding | Data Modeling | Data Wrangling | Document analysis | Generative AI | Hadoop | Language Processing | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Predictive Analytics | PyTorch | Python | Real Time | Real-time Processing | TensorFlow | Test automation | Time processing
Education
Regions
Countries
States
Cities
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