Machine Learning Software Engineer II (Remote)

Key Skills

Azure, Data science techniques, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Python Programming

Job Description

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 Machine Learning Software Engineer II, you will be responsible for diving into the nuances of Agiloft’s CLM data structures and customer information needs to 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

• Collaborate closely with Engineers, Product Managers, and Data Scientists to develop solutions that help our customers to make decisions fast, accurate, and with confidence based on the data in their CLM system.
• Collaborate with cross-functional teams on the development of new features on the Agiloft platform.
• Help plan and develop innovative solutions to complex business problems.
• 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.
• Other duties as assigned.

Required Qualifications

• Bachelor’s degree in data science, computer science, MSc in mathematics, or similar.
• At least 3 years of experience working in data science teams.
• At least 2 years of hands-on experience with prototyping of machine learning models and the production deployment of machine learning workloads.
• You enjoy thinking about the implications of your work on end users. You are comfortable collaborating with Product Managers to ensure that you’re delivering impactful product features.
• You have experience building machine learning services with public cloud providers, such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure
• You have a successful track record of collaboration with distributed teams of both technical and non-technical individuals.
• You have excellent communication skills, and you are enthusiastic and forward-looking.
• Fluent in Python.

Preferred Qualifications

• Hands-on experience with vector databases such as Pinecone or Milvus
• Hands-on experience with ElasticSearch.
• Hands-on experience with the design, prototyping, and deployment of machine learning workloads for natural language processing, including encoder-decoder transformers and autoregressive decoder-only models.