Agiloft was named a Leader in the 2022 Gartner Magic Quadrant for Contract Life Cycle Management for the third year in a row. Contract Lifecycle Management (CLM) is one of the fastest-growing areas of enterprise sales, with a TAM projected to climb from $2B to $7B in the next 5 years.
The Agiloft Contract Lifecycle Management platform has won dozens of awards, including the Editor's Choice award from PC Mag, for the past five years in a row.
Agiloft has a highly differentiated value proposition which is uniquely appealing to enterprises: pre-built applications with a deeply configurable, no-code platform for integrated Business Process Management throughout an organization.
Agiloft is pioneering the applied use of Artificial Intelligence to enable next-generation business commerce at organizations ranging from small enterprises to U.S. government agencies and Fortune 100 companies.
Additionally, 99% of employees who commented on Glassdoor would recommend Agiloft to a friend.
Postion Overview
As the Data Science Developer III, you will be responsible for diving into the nuances of Agiloft’s CLM data structures and customer information needs to design and build machine learning solutions that help generate real-world predictions for complex information retrieval problems such as understanding the content of legal contracts and placing it in context with business processes and external events. You’ll be working closely with both Full Stack Engineers and other Machine Learning Engineers to bridge the gaps between how we capture data and how our clients utilize it and build models that can deliver value to end users. Together with your team you will be responsible for the full cycle of fulfillment-related Machine Learning model development: design, prototyping, training, testing, releasing, observing, and optimizing.
Job Responsibilities
- Design and prototype solutions to real world data problems with state-of-the-art algorithms and machine learning models.
- In your designs consider requirements on accuracy, speed, data privacy and other constraints.
- Present your designs and prototypes to business stakeholders and obtain approval for implementation.
- Collaborate with members of the project team on the planning of product projects that solve data problems and ensure project execution in line with agreed goals for the data science and machine learning engineering team.
- Develop with an eye on quality, using performance monitoring tooling, automated and manual testing, and observability tools to verify the correctness and quality of your work.
- Establish and maintain monitoring and alerting systems around Machine Learning systems in production.
- Mentor junior data scientists and machine learning engineers.
- Other duties as assigned.
- Bachelor’s or higher degree in data science, software engineering, MSc in mathematics, or similar.
- At least 7 years of experience working on complex data science problems.
- At least 5 years of hands-on experience with the development, deployment, and operation of machine learning models and data analysis algorithms in enterprise-grad production environments.
- At least 3 years of experience leading teams in data science projects.
- At least 3 years of experience building machine learning services with public cloud providers, such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure
- At least 2 years of experience with the design, prototyping, and deployment of machine learning workloads for natural language processing.
- At least 2 years of experience working with vector databases such as Pinecone or Milvus.
- Experience working with production systems that integrate Machine Learning models at scale.
- You are comfortable collaborating with Product Managers to ensure that you’re delivering impactful product features.
- Successful track record of collaboration with distributed teams of both technical and non-technical individuals
- Excellent communication skills and you are enthusiastic and forward-looking.
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
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