Machine Learning Engineer (Kubeflow/TFX)

Company: Jobot
Location: New York, New York, United States
Type: Full-time
Posted: 09.AUG.2021

Summary

An analytics based professional services company located in NYC is looking to bring on a Senior Machine Learning Engineer for a large scale,...

Description

An analytics based professional services company located in NYC is looking to bring on a Senior Machine Learning Engineer for a large scale, end to end project! 100% remote!

This Jobot Job is hosted by: Christine McNamara
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $130,000 - $150,000 per year

A bit about us:

A global organization dedicated to partnering with companies across multiple industries is looking to expand their data and analytics team by bringing on a Machine Learning Engineer. The role will involve working for one of their most prestigious clients and will have a heavy emphasis on Tensorflow and Kubernetes. If you are someone who is passionate about MLOps and wants to see their contributions being used first hand, be sure to submit a resume!

This is a 100% remote position, however it's preferred to have someone within commutable distance to NYC.

Why join us?

  • Competitive base salaries
  • Annual performance bonuses
  • 401k with company match
  • Work from home flexibility
  • Generous PTO and paid sick leave
  • Medical, dental, vision insurance
  • Training and career development


Job Details

Responsibilities
  • Design & build data pipelines and production level ML infrastructure, using tools such as TFX, Kubernetes, Kubeflow Pipelines, TensorFlow
  • Work with data engineering teams to iterate upon the pipelines that feed the data science models
  • Deploy ML models under the constraints of scalability, correctness and maintainability.
  • Work with large big data sources, focusing on efficient data creation and feature engineering
  • Drive work on creating a state of the art codebase and machine learning lifecycle infrastructure
  • Contribute to the team through mentorship, technical methods, improvements in how we work

Qualifications
  • Masters or Bachelor's degree in Computer Science (or) math heavy degrees from top-tier universities with strong record of achievement
  • Deep knowledge of statistical methods and machine learning with special emphasis on deep learning algorithms.
  • 3+ Years of experience in algorithms, machine learning, data science (or) statistics
  • Experience solving problems using Machine Learning Frameworks(e.g. PyTorch, TensorFlow)
  • Experience with Big Query; Comfortable with writing complex SQL queries for data retrieval & transformation
  • Proficient in Python / Pyspark.
  • Prior experience in management consulting and/or analytics based consulting is a plus


Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. - provided by Dice

 
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