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Machine Learning Engineer/AI Engineer

Machine Learning Engineer Responsibilities:

  • 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.

Machine Learning Engineer Requirements:

  • Bachelor’s degree in computer science, data science, mathematics, or a related field.
  • Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
  • At least two years’ experience as a machine learning engineer.
  • Advanced proficiency with Python, Java, and R code writing.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, 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.

Top Three Skills Must Haves:

  • Proficient in Python Programming
  • SQL/No SQL, REST API framework
  • Cloud Platform experience such as Azure or AWS.