Machine Learning Engineer II
Remote
Posted on 1/13/2024
INACTIVE
Agiloft

201-500 employees

AI-powered contract lifecycle management software provider
Company Overview
Agiloft stands out as a global leader in contract lifecycle management (CLM) software, offering a no-code platform that enables rapid deployment and system extensibility. The company's unique use of AI to enhance contract management across legal departments, procurement, and sales operations has resulted in significant savings, increased efficiency, and reduced compliance risk for its clients. Agiloft's confidence in its platform is demonstrated by its unique offering of an unconditional guarantee on its software, a testament to its commitment to customer satisfaction and industry leadership.
AI & Machine Learning
Financial Services
Education

Company Stage

Private

Total Funding

$45M

Founded

1991

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

14%

1 year growth

16%

2 year growth

54%
Locations
Ukraine
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Python
Data Science
Docker
AWS
Pandas
NumPy
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • 3-5 or more years of experience in Machine Learning Engineering role
  • Fluency in Python and the associated Data Science stack (numpy, scipy, scikit-learn, pandas)
  • Fluency in at least one relational database language
  • Experience with deep learning and genAI models, both third party and open source preferred
  • Expertise in designing and implementing robust data pipelines, particularly where scalability and performance are critical
  • Ability to architect and deploy basic machine learning models in a production environment
  • Experience with a cloud-based infrastructure environment (AWS, GCP, etc.) and containerization technology (docker, Kubernetes)
  • Knowledge of machine learning model optimization, including the ability to advise on trade-offs and options
  • Familiarity with model drift, and the ability to monitor and respond appropriately in straightforward scenarios
  • Familiarity with at least one CI/CD tool and experience in modern principles of software development and version control
Responsibilities
  • Assist in building and integrating production features that utilize machine learning and generative AI technologies
  • Participate in the development and optimization of infrastructure and processes for machine learning prototyping, deployment, and iterative improvements based on customer feedback
  • Support the development and maintenance of our AI platform, aiding in both standard and custom AI model solutions for clients
  • Architect robust data pipelines, addressing key issues of scalability and performance. Provide expert recommendations on their usage and advocate for best practice patterns within the team
  • Engage in project initiatives and contribute to the planning process, ensuring alignment with project goals and team objectives
  • Play a role in educating internal stakeholders about our machine learning projects and their business implications
  • Other duties as assigned
Desired Qualifications
  • Experience with CI/CD tool
  • Experience in modern principles of software development and version control