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Software engineer machine learning Job Description

Software engineer machine learning Job Description Template

As a software engineer specialized in machine learning, professionals create and optimize intelligent algorithms and systems. They are responsible for designing, implementing, and testing machine learning models to improve data analysis and prediction. Task may include developing and deploying machine learning algorithms, data preprocessing, and collaboration with cross-functional teams.

Responsibilities:

  • Design, develop and maintain software applications using machine learning algorithms
  • Collaborate with cross-functional teams to define, design, and ship new features
  • Conduct research and experimentation to improve machine learning models and algorithms
  • Analyze and optimize software performance for machine learning applications
  • Ensure software quality and maintainability by writing automated tests and following software development best practices
  • Stay up-to-date with the latest developments in machine learning and apply them to software development
  • Contribute to documentation and knowledge sharing to improve the team's collective skills and expertise

Requirements:

  • - Strong programming skills in Python, R or Java
  • - Experience in machine learning and statistical modeling
  • - Familiarity with deep learning frameworks such as TensorFlow or Keras
  • - Ability to preprocess and analyze large data sets using tools such as Pandas and Numpy
  • - Knowledge of data visualization tools such as Matplotlib or Seaborn
  • - Strong problem-solving skills and ability to work independently on research projects
  • - Familiarity with cloud computing platforms like AWS or Google Cloud Platform
  • - Excellent verbal and written communication skills to effectively communicate findings and insights to both technical and non-technical stakeholders