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Machine Learning Engineer I

Job Id : 14670

Jobtitle : Machine Learning Engineer I

Location :  Boston, MA

Company Name : Teikametrics

Industry : Information Technology

Salary : $75,130 - $129,311  PER YEAR

Job type : Fulltime

Posted on: 2020-06-29

Required Skills : Python, NumPy, Scipy, Pandas, Tensorflow

Benefits : No benefits are available

Job Description:

  • The Data Science team's predictive services are developed in Python on top of AWS Sagemaker, orchestrated by Airflow and backed by a data warehouse in Snowflake. Our back-end code emphasizes a ‘functional-first’ Scala stack with cats and fs2. 
  • The team's mandate is to design and build infrastructure that enables us to safely deploy solutions to the multi-agent, 
  • game-theoretic problems at the heart of decision-making in E-commerce.
  • This entails model train/evaluate/serve lifecycle management, ML metadata storage and visibility, provisioning of separate environments for staging and integration testing, and task orchestration.
  • The team will adapt existing solutions, like Kubeflow or AWS Sagemaker, where appropriate and fill in the rest. 

Required Qualifications:

  • 1+ years of experience working as a professional software developer. 
  • Proficiency in Python with exposure to some subset of the Python ML ecosystem (NumPy/scipy/pandas, Tensorflow, etc.). 
  • Exposure to machine-learning model lifecycle; training, evaluation, serving.
  • Interest in deploying machine-learning models as scalable services. 
  • Interest in "tool-making"; building features for developers that empower them and make them faster.
  • Passion for learning and growing as a developer.
  • Desire to work in a collaborative environment focusing on continuous learning; participating in tech talks, code review, and pair programming.

Desired Qualifications: 

  • Experience with any of AWS, Airflow, Kubernetes, Terraform, Spark, Snowflake.
  • Experience writing, testing, and interpreting numerical, scientific code. 
  • Experience with functional programming.
  • Proficiency in SQL.

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