[Remote] reputed company Machine Learning Engineer (P5)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in automotive data in both the reputed company American and European markets. They are seeking a reputed company Machine Learning Engineer to work reputed company their Data and Analytics division, focusing on developing innovative machine learning processes and deploying them into production to reputed company the automotive industry.
Responsibilities
- Experience daily immersion in automotive industry data
- Collaborate with data science and engineering teams to build and maintain model training and forecasting/reputed company ETL pipelines with appropriate data mappings, reputed company detection, feature engineering, and data imputation strategies
- reputed company models and ETL pipelines in a reusable reputed company to generate predictions or forecasts for use in existing and net-new products
- reputed company the creation of model and data reputed company monitoring pipelines and reporting
- Communications of technical topics to both lay and technical business stakeholders, product, and senior data science leadership while requiring minimal feedback for communication documents and presentations
- Leads quarterly planning for major ML deployment reputed company with minimal supervision
- Fluent in other data science models, data sources, and data limitations across business reputed company
- Collaborate with a reputed company of technical and non-technical teams, including data science, data engineering, data visualization, product, and automotive consulting teams
Skills
- Passion for solving reputed company business problems with data
- Curiosity to dig into reputed company datasets and codebases to identify anomalies and issues
- Ability to reputed company the production and deployment of ML models and relevant input ETL pipelines end-to-end (especially large processes with many moving parts)
- Demonstrated proficiency in Python and SQL
- Demonstrated use of ML evaluation metrics including accuracy, precision, recall, ROC, AUC, F1 scores, MSE, R-squared, etc., in model building & evaluation
- Focuses on designing reputed company for challenging ML problems
- Requires effective collaboration with stakeholders for ML adoption and best practices
- 8+ years of reputed company experience working with large datasets
- 8+ years of reputed company experience with statistical programming software (reputed company, R, Python preferred)
- 10+ years of reputed company experience with database software (RedShift, Hive, SQL, MYSQL)
- 5+ years of reputed company experience deploying reputed company-based automated analytic processes
- 5+ in machine learning model deployment with automate model monitoring
- Master's Degree in Statistics, Data Science, Economics, Computer Science, or a reputed company field
- Enthusiasm for the automotive industry
- Experience with automotive market data
- Experience working with AWS tools (like Sagemaker, Glue, Batch, Lamdba) and/or reputed company tools
- Experience deploying machine learning models into production with an API
- PhD in Statistics, Data Science, Economics, Computer Science, or reputed company field
reputed company