Machine Learning Engineer

Global leader in data-first contract lifecycle management (CLM) software, providing AI-powered solutions for contract management.
United States
$110,000 - $125,000
Machine Learning
Mid-Level Software Engineer
Remote
501 - 1,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer

Agiloft, the leading provider of contract lifecycle management (CLM) software, is seeking a Machine Learning Engineer to join their Data Science Team. This role offers an exciting opportunity to work at the intersection of AI and enterprise software, focusing on building and maintaining machine learning features in production.

The position involves collaborating with Data Scientists, ML Engineers, Knowledge Experts, and Developers to develop and integrate cutting-edge machine learning and generative AI solutions. You'll be responsible for architecting robust data pipelines, optimizing infrastructure for ML deployment, and supporting the development of Agiloft's AI platform.

As an ideal candidate, you'll bring 3-5 years of ML Engineering experience, strong Python skills, and expertise in the data science stack. Your experience with deep learning, GenAI models, and cloud infrastructure will be valuable in building scalable solutions. The role requires both technical excellence and strong communication skills to work effectively with cross-functional teams.

Agiloft offers a competitive salary range of $110,000-$125,000 and promotes a diverse, inclusive workplace where employees can bring their authentic selves to work. The company's success is reflected in its high customer satisfaction rates and recognition as a leader by top analysts like Gartner, Forrester, and IDC.

Working remotely, you'll be part of a growing, vibrant company that values work-life balance and offers benefits like floating holidays and quarterly wellness days. This is an excellent opportunity for someone passionate about ML/AI who wants to make a significant impact in the enterprise software space while working with a supportive and innovative team.

Last updated a month ago

Responsibilities For Machine Learning Engineer

  • Build and integrate production features using machine learning and generative AI technologies
  • Develop and optimize infrastructure for machine learning prototyping and deployment
  • Support AI platform development and maintenance
  • Architect robust data pipelines addressing scalability and performance
  • Engage in project planning and initiatives
  • Educate internal stakeholders about machine learning projects

Requirements For Machine Learning Engineer

Python
  • 3-5 or more years of experience in Machine Learning Engineering
  • Fluency in Python and Data Science stack (numpy, scipy, scikit-learn, pandas)
  • Fluency in at least one relational database language
  • Experience with deep learning and genAI models
  • Expertise in designing and implementing robust data pipelines
  • Experience with cloud-based infrastructure (AWS, GCP) and containerization (docker, Kubernetes)
  • Knowledge of machine learning model optimization
  • Familiarity with model drift monitoring
  • Experience with CI/CD tools and version control

Benefits For Machine Learning Engineer

  • Floating holidays
  • Quarterly wellness day
  • Employee Resource Groups (ERGs)
  • Work/life balance

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