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Advanced ML Engineer
Posted on 9/9/2022
INACTIVE
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Google Cloud Platform
Management
Microsoft Azure
NumPy
Pandas
Pytorch
Scala
Tensorflow
Python
Requirements
  • 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
Responsibilities
  • 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
Relativity

201-500 employees

Legal & compliance software solutions
Company Overview
Organize data. Discover the truth. Act on it
Benefits
  • 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.