What you need to know about the role-
Job Requirements:
Explore and execute to get solid results
Your day to day:
In your day to day role you will
- Lead ML Projects and Conduct research to identify new and innovative ML techniques.
- Innovate to create efficiencies for the team and the business.
- Work closely with other engineers and technical leaders to implement and optimize ML models.
- Develop and implement best practices for ML model management, deployment, and monitoring.
- Collaborate with other teams to ensure ML models are integrated into the product and services.
- Assist with troubleshooting and resolving technical issues.
- Responsible for documentation, project tracking, and quality controls.
What do you need to bring:
- The ideal candidate will possess a degree in engineering, science, statistics or mathematics with strong technical background in machine learning.
- We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion forproblem-solving.
- Candidates should have experience with solving Machine learning problems in credit or collections business across geographies
- 5+ years of hands-on experience with problem-solving using Machine Learning
- Hands-on experience with Python, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required.
- Candidates should have in-depth knowledge of machine learning algorithms, and explainable AI methods.
- Experience with Cloud frameworks such as GCP, AWS is preferred.
- Experience with Lending and Financial services is a plus.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
$72700 to $176000
Our Benefits:
Any general requests for consideration of your skills, please