Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Software, AI & Machine Learning, Data EngineeringIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Statistics, or a related field, and have at least 5 years of experience in machine learning engineering. Strong experience in designing and implementing production-grade ML pipelines is required, along with a solid understanding of data engineering principles and experience with large-scale data processing systems. Experience with optimizing data pipelines and maintaining high-performance systems is also necessary.
Responsibilities
The Senior Machine Learning Engineer will architect and implement the ML infrastructure, develop production-grade ML pipelines, design robust data ETL processes, and maintain high-performance systems that power both real-time and batch decision-making at scale. They will collaborate with data scientists to deploy and scale ML models, ensuring they meet business requirements and performance standards. Additionally, the role involves monitoring and optimizing existing ML systems and contributing to the development of new ML solutions.
Skills
ML infrastructure
ML pipelines
Data engineering
ETL processes
Production ML models
Large-scale ML solutions
System optimization
TrueML
Fintech solutions for debt collection and management
About TrueML
TrueML operates in the financial technology sector, focusing on enhancing the financial services experience for consumers. Its main product, TrueAccord, is a digital platform that streamlines debt collection and recovery, using intelligent technology to improve outcomes for businesses while ensuring a positive experience for consumers. TrueML also offers True Life Solutions, which includes consumer-facing tools like Engage, a communication platform that connects consumers with debt collectors and creditors, helping them manage and pay down debts. Unlike many competitors, TrueML emphasizes inclusivity and customer-friendliness in its approach to financial services. The company's goal is to make financial services accessible to everyone, regardless of their financial situation, and to transform the often challenging experience of managing debts into a more manageable and respectful process.
Key Metrics
16011 College Blvd Suite 130, Lenexa, KS 66219, USAHeadquarters
2013Year Founded
$199.9MTotal Funding
VENTURE_UNKNOWNCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees