Senior Machine Learning Engineer
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
Audit, Risk, ESG, and InfoSec SoftwareIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field, and a minimum of three to four years of hands-on experience in developing and deploying machine learning models. Strong programming skills in Python are required, along with proficiency in classical machine learning methods and familiarity with newer techniques like Large Language Models (LLMs). Experience with tools such as Docker, PostgreSQL, Kubernetes, and JavaScript, Node.JS is also desired.
Responsibilities
The Senior Machine Learning Engineer will be responsible for building, shipping, and owning end-to-end product features, including predictive analytics, automated risk assessments, intelligent data extraction, and personalized insights, collaborating closely with engineers, designers, and product managers. They will design and implement AI solutions utilizing various techniques, such as Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation, while writing well-designed, maintainable, and testable code and documenting designs. The role also involves troubleshooting and resolving software bugs, staying updated on AI/ML advancements, participating in an Agile development cycle, and working with the customer to deliver innovative solutions.
Skills
Machine Learning
Large Language Models (LLMs)
Python
JavaScript
Node.JS
Docker
PostgreSQL
Kubernetes
Scalable production-quality coding
Classical ML methods
AI/ML techniques
Design documentation
Troubleshooting and debugging
Agile development
AuditBoard
GRC software for audit and compliance
About AuditBoard
AuditBoard provides Governance, Risk, and Compliance (GRC) software solutions for large enterprises, including many Fortune 500 companies. Its platform automates and manages audit, risk, and compliance programs in real time, enabling teams to collaborate and report from anywhere. The company operates on a Software-as-a-Service (SaaS) model, offering specialized modules for different GRC aspects, which simplifies complex tasks and improves efficiency. AuditBoard's goal is to empower organizations to effectively manage their compliance and risk management needs.
Cerritos, CaliforniaHeadquarters
2014Year Founded
$42.4MTotal Funding
BUYOUTCompany Stage
Enterprise Software, Financial ServicesIndustries
501-1,000Employees