Machine Learning Engineer
USD 120K-160K (estimate) Senior-level Full Time
Tasks
- Analyze network performance data
- Build production machine learning systems
- Communicate findings to stakeholders
- Conduct statistical analysis
- Create dashboards and visualizations
- Define and interpret data metrics KPIs
- Design deploy and maintain large scale ML systems
- Develop ad hoc tools and automation
- Develop predictive machine learning models
- Perform A/B testing
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Spark | Autoencoders | Azure | B testing | Bayesian regression | CUDA | Clustering | Component analysis | Confidence Intervals | Correlation Analysis | Data Analysis | Data Wrangling | Databricks | Decision Trees | Deep learning | Docker | Exploratory Data Analysis | Git | Google Cloud | Gradient boosting | Hierarchical Clustering | Hypothesis Testing | Jupyter | K-Means | Kubernetes | Linux | Logistic Regression | MLOps | MLflow | Machine Learning | Neural Networks | Principal Component Analysis | Python | R | Random Forest | Regression | SQL | Series modeling | Snowflake | Statistical Testing | T-SNE | Time Series | Time Series Modeling | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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