Senior MLOps Engineer

Logic20/20 Inc.Seattle, WA
65d$144,134 - $162,067

About The Position

Logic20/20 is seeking a Senior MLOps Engineer to support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.

Requirements

  • 5-10 years of experience in a data science or machine learning (MLOps) role using Python
  • Proficiency in ML Frameworks (TensorFlow or PyTorch)
  • Experience with AWS Sagemaker (S3, Lambda, Glue) and/or Snowflake and Palantir Foundry
  • Experience creating reproducible environments for data processing and model deployment using Docker and Kubernetes
  • Experience with Terraform
  • Proficiency with software engineering best practices: version control, testing, and CI/CD automation (e.g., GitHub, Jenkins)
  • Experience implementing model versioning, deployment, monitoring, and observability systems

Nice To Haves

  • Experience with Remote Sensing data and geospatial technologies
  • Experience with deep learning at scale with geospatial remote sensing data
  • Ability to manage the end-to-end ML lifecycle across platforms (e.g., Palantir Foundry and AWS SageMaker)
  • Master's degree/PhD in computer science or related field

Responsibilities

  • Create frameworks to predict a variety of outcomes in different scenarios
  • Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
  • Collaborate with other data scientists and stakeholders on projects
  • Develop solutions in R or Python
  • Develop production-grade solutions
  • Work in Hadoop, Redshift, and Spark
  • Translate business and product questions into analytics projects
  • Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights

Benefits

  • Competitive compensation package
  • Performance-based bonuses and other incentives
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