As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.

POSITION OVERVIEW

We are looking for an experienced Machine Learning Engineer to join our growing efforts in machine learning and generative AI. You will be part of our Data Science Team, working alongside Data Scientists, ML Engineers, Knowledge Experts, and Developers to build and maintain machine learning features in production. Additionally, you will contribute to developing the infrastructure and tooling necessary for model development.

• in building and integrating production features that utilize machine learning and generative AI technologies, working closely with the Data Scientists, ML Engineers, Knowledge Experts and Engineering teams
• 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