Machine Learning Engineer, Optymize | | #python | #jobs


Job Title

Machine Learning Engineer

Job Description

  • Consulting with managers to determine and refine machine learning objectives.
  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Running tests, performing statistical analysis, and interpreting test results.
  • Documenting machine learning processes.
  • Keeping abreast of developments in machine learning.


  • No telecommuting
  • Agencies are OK


  • At least 3 years of experience as a machine learning engineer.
  • Advanced proficiency with Python, Java, and R code writing.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities

About the Company

Optymize is a worldwide technical talent marketplace that connects companies with verified & remote engineers who have robust technical & communication skills and work in their timezone. Several leading companies like Sidewalk Labs, RD&X, Yello, and Planoly leverage use Optymize to scale their engineering teams quickly and cost-effectively. Optymize verifies 3 essential qualities: technical ability, communication skills, and remote working capabilities.

We are currently on the lookout for Machine Learning Engineers on a full-time or part-time remote basis. Apply now to be a part of Team Optymize!

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