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Advanced ML Engineer
Posted on 9/9/2022
Remote in USA
Experience Level
Desired Skills
Apache Spark
Google Cloud Platform
Microsoft Azure
  • Knowledge of data ingestion, cleansing, analyzing, and feature extraction operations
  • Experience in using Machine Learning Libraries like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas, etc. when Python is used to implement ML solutions
  • Experience training and deploying machine learning models
  • Experience in performance testing of machine learning models and generating useful metrics for the engineering and product teams
  • Experience in deploying machine learning models from the local environment to production
  • Experience monitoring data and models through the complete ML lifecycle with end-to-end lineage
  • Experience designing APIs, service-oriented architectures, and cloud-based distributed systems
  • Fluent in programming languages suitable to implement machine learning solutions. Ex: Python or Scala
  • Experience working with single-cloud or multi-cloud environments to deploy, secure, and scale applications and services. Ex: Azure, AWS, GCP
  • Experience in Job Orchestration workflows and Job Running Frameworks in the cloud. Ex: Prefect, Apache Airflow, Spark, Databricks
  • Contribute throughout all service lifecycle phases from conception through development, deployment, and operation
  • Contribute to and mature existing, automated CICD workflows
  • Participate in code reviews for projects written by your team
  • Work with our data scientists, product managers, and engineering teams to bring ML feature ideas to proof of concepts and feature planning for projects
  • Prove out the use of new technology with compelling proof of concepts and demonstration
  • Work on solutions to improve our model training pipelines, model governance, and model monitoring
  • Interact with our Customer Support Teams regularly and reduce the operational burden to our customers and keep the team focused on feature delivery during most of their work time
  • Escalate risks and issues to management proactively so better planning for mitigation and resolution of those can be done
  • Follow the industry's best engineering practices and use the latest tech stack to implement and deliver code artifacts
  • Help product teams and clients by releasing applications and services with elite dev ops metrics and creating a smooth customer experience during each release
  • Demonstrate work completed frequently to product, management, and leadership so feedback can be collected early and planning can be improved continuously
  • Collaborate with Lead, staff, and principal engineers to develop high availability, scalability, and reliability solutions
  • Mentor interns within the AI group to promote career development

201-500 employees

Legal & compliance software solutions
Company Overview
Organize data. Discover the truth. Act on it
  • Comprehensive health insurance plans
  • Two holiday breaks per year
  • 401k with employer match
  • Employee equity program
  • Training investment program
  • Unlimited time off
  • Flexible work arrangements
Company Core Values
  • Be an excellent communicator.
  • Exceed the expectations of our customers and our colleagues.
  • Hold yourself and your colleagues accountable.
  • Be humble and stay hungry.
  • Do more with less.
  • Enjoy and be great at your job.
  • Embrace the talents of your colleagues and our customers.