Machine Learning Engineer

6 days ago


New York, New York, United States Open Systems Technologies Full time
Data Scientist Position at Open Systems Technologies

Open Systems Technologies is a growing fin-tech firm based in New York, NY, seeking a highly skilled Data Scientist to join their team.

Compensation: $160,000 - $200,000 per year

Job Description

The ideal candidate will have a strong background in developing, deploying, and maintaining machine learning models in production environments. They will collaborate with cross-functional teams to ensure seamless integration of ML workflows and utilize and improve Machine Learning Operations (MLOps) pipelines and procedures.

The successful candidate will be responsible for optimizing data pipelines and model performance for scalability and efficiency, as well as conducting exploratory data analysis and feature engineering to support ML initiatives.

  • Develop, deploy, and maintain machine learning models in production environments
  • Collaborate with cross-functional teams to ensure seamless integration of ML workflows
  • Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures
  • Optimize data pipelines and model performance for scalability and efficiency
  • Conduct exploratory data analysis and feature engineering to support ML initiatives

Qualifications

The successful candidate will have an advanced degree in Data Science, Computer Science, Statistics, or a related field and 4+ years of experience as a researcher or developer in data science or related fields.

  • Advanced degree in Data Science, Computer Science, Statistics, or a related field
  • 4+ years of experience as a researcher or developer in data science or related fields
  • Strong experience programming in common data science languages including Python, R, and/or Matlab
  • Strong experience with machine learning frameworks and tools such as Tensorflow, Tesseract, PyTorch, and/or Keras
  • Solid understanding of ML Ops practices, tools, and deployment strategies
  • Proven Data Science experience
  • Experience in fin-tech or a strong interest in financial technologies is highly desirable


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