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Machine Learning/ML Engineer - Remote

Roles & Responsibilities

  • 5+ years of industry experience or a PhD, with at least 2 years in applied machine learning
  • Strong coding skills in Python, Java, or Scala (or equivalent)
  • Experience with distributed data processing tools such as Hive, Spark, and Airflow, and familiarity with TensorFlow or PyTorch
  • Experience in productionizing machine learning models and understanding engineering best practices; knowledge of Docker, Kubernetes, and Spark is a plus; end-to-end ML infrastructure experience is a big plus

Requirements:

  • Develop, train, and productionize machine learning models for real-world applications
  • Collaborate with data engineers to design, build, and maintain scalable data pipelines and ML infrastructure
  • Deploy, monitor, and iteratively improve models in production, ensuring performance, reliability, and governance
  • Contribute to the design and implementation of end-to-end ML systems and tooling to support the product and business goals

Job description


Machine Learning/Client Engineer
Location: 100% Remote
6 Months contract
Salary: $/day. On w2
 
US Citizen and Green Card only- No Third Party
 
Requirements
  1. 5+ years of industry experience or a Ph.D. + 2 years industry experience in applied Machine learning.
  2. Strong coding skills in Python/Java/Scala or equivalent
  3. Experience with distributed data processing tools like Hive, Spark, Airflow and popular Client frameworks like Tensorflow or Pytorch is preferred
  4. Solid understanding of engineering best practices and complexities of models in production
  5. Experience developing and productionizing machine learning models is a plus
  6. Experience with Docker, Kubernetes, Spark is a plus
  7. Experience with distributed data processing tools like Hive, Spark, Airflow is a plus
  8. Industry experience building end-to-end Machine Learning Infrastructure a bigplus
 

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