Description:

VISO TRUST is a SaaS third-party cyber risk management platform that provides security intelligence for modern companies to make critical risk decisions quickly.
The company aims to simplify the traditionally complex process of evaluating the risk of data breaches from third-party relationships, enhancing operational efficiency by an average of 90%.
VISO TRUST is a venture-backed startup with a fully remote workforce based in North America, emphasizing a culture that values ownership, curiosity, honesty, and humility.
The company is dedicated to equal employment opportunities and values diverse perspectives and experiences.
The role involves working as a Machine Learning Engineer to augment and execute the data and machine learning roadmap.
Responsibilities include early-stage experimentation, ETL, architecture, prototyping, and project development in a dynamic and cross-functional environment.

Requirements:

Candidates must have 10+ years of professional experience in designing, building, and maintaining production Python applications.
Hands-on experience with machine learning, particularly in natural language processing, including semantic understanding and sentiment analysis, is required.
Experience in building production LLM and RAG architectures is necessary.
Candidates should have experience in building robust data pipelines.
Knowledge of RESTful API architecture is essential.
Familiarity with AWS Container and Serverless Services, specifically ECS and Lambda, is required.
Proficiency in Docker is also necessary.

VISO TRUST offers competitive compensation, including salary, equity, and a comprehensive benefits package.
Standard benefits include medical, dental, vision, disability, life, and AD&D insurance for employees and their dependents without employee contributions.
The company provides zero deductible medical plans with minimal out-of-pocket expenses.
HSA/FSA options are available, along with a 401k plan.
Employees receive a gym membership, unlimited PTO, and 18 paid holidays per calendar year.
Additional benefits include a communications stipend, on-hours social events, and opportunities for training and growth.