MTS 1, Machine Learning Engineer
Job Description
- Lead Machine Learning Projects
- Conduct research to identify new and innovative Machine Learning techniques
- Develop and implement best practices for Machine Learning model management, deployment, and monitoring
- Troubleshoot and resolve technical issues and Machine learning problems in credit or collections business across geographies
- Innovate to create efficiencies for the team and the business and optimize ML models
- Responsible for documentation, project tracking, and quality controls
- Collaborate with other teams to ensure Machine Learning models are integrated into the product and services
- Master’s degree, or foreign equivalent, in Analytics, Engineering, or a closely related field
- Three years of experience in the job offered or a related occupation
- Proficiency in Python
- Proficiency in SQL
- Experience with machine learning techniques and experimental design
- Experience with Big data tools (Hadoop / Spark)
- Knowledge of Kubeflow components and pipeline
- Experience with large-scale data manipulation on cloud frameworks such as GCP or AWS
- Experience with credit underwriting model development
- Experience with model deployment using Docker
- Experience with model monitoring and reporting
- Experience with code testing and quality control
- Legally authorized to work in the U.S. without sponsorship
- Flexible work environment
- Employee shares options
- Health insurance
- Life insurance
- Benefits for financial, physical, and mental health
Job Duties: Lead Machine Learning Projects and conduct research to identify new and innovative Machine Learning techniques. Develop and implement best practices for Machine Learning model management, deployment, and monitoring. Troubleshoot and resolve technical issues and Machine learning problems in credit or collections business across geographies. Innovate to create efficiencies for the team and the business and optimize ML models. Responsible for documentation, project tracking, and quality controls. Collaborate with other teams to ensure Machine Learning models are integrated into the product and services. Utilize knowledge of and experience with machine learning algorithms, explainable AI methods, Python, Spark, Hadoop, BigQuery, SQL, Cloud frameworks such as GCP and AWS. Partial telecommuting permitted from a commutable distance
Minimum Requirements: Master’s degree, or foreign equivalent, in Analytics, Engineering, or a closely related field plus three years of experience in the job offered or a related occupation.
Special Skill Requirements:
1. Python (3 year/s)
2. SQL (3 year/s)
3. Machine learning techniques and experimental design
4. Big data tools (Hadoop / Spark)
5. Kubeflow components and pipeline
6. Large-scale data manipulation on cloud frameworks such as GCP or AWS (3 year/s)
7. Credit underwriting model development (3 year/s)
8. Model deployment using Docker (3 year/s)
9. Model monitoring and reporting (3 year/s)
10. Code testing and quality control (3 year/s)
