Senior Machine Learning Engineer

phData

Remote
Remote
Design and create ml environments
Deploy data science models
Build and operate data pipelines
phData is seeking a Senior Machine Learning Engineer to join their remote-first team. The role involves designing and deploying machine learning models while offering a collaborative and innovative work environment focused on technological curiosity and autonomy

Job Summary

  • phData is a remote-first global company that partners with major cloud data platforms to deliver cutting-edge services and solutions.
  • Machine Learning Engineers own the infrastructure and deployment plan, ensuring data science models are built, deployed into production, and maintained.
  • The company offers a remote-first, casual, award-winning work environment with competitive compensation, excellent benefits, and accelerated professional development.

Matching Summary

Match Score: 85

phData is seeking a Senior Machine Learning Engineer to join their remote-first team. The role involves designing and deploying machine learning models while offering a collaborative and innovative work environment focused on technological curiosity and autonomy.

Skills & Requirements

Must-have

  • design and create ML environments
  • deploy data science models
  • build and operate data pipelines
  • strong SQL working knowledge
  • containerization technology experience
  • core data technologies experience
  • API and web server development

Nice-to-have

  • collaborative culture
  • autonomy and creativity
  • accelerated learning opportunities
  • advanced training and certifications

Key Requirements

  • 4+ years experience as ML/Software/Data Engineer
  • 4-year Bachelor's degree in Computer Engineering
  • production ML model deployment experience
  • Python, Scala, Java expertise
  • modern programming language proficiency
  • Data Science/ML software and libraries experience
  • Docker, Kubernetes experience
  • familiarity with multiple data source systems
  • systems-level network/cloud architecture knowledge
  • Linux operating systems knowledge
  • AWS, Databricks, Cloudera storage systems knowledge
  • Spark, Pandas production experience
  • Flask, Django, Spring development experience
  • complete software development lifecycle experience
  • excellent communication and presentation skills
  • experience working with customers

Work Rights

Not specified

Tailored Resume

Cover Letter