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Top Machine Learning Jobs and How to Prepare For Them

  • The article discusses various machine learning job roles such as data scientist, machine learning engineer, AI engineer, and research scientist/engineer, offering insights into their responsibilities and required skills.
  • Data scientists are responsible for running A/B tests, deep-dive analysis, and suggesting improvements to machine learning models, while machine learning engineers focus on building and deploying machine learning models into production systems.
  • Both data scientists and machine learning engineers require skills in Python, SQL, Git, and basic machine learning concepts, with an added emphasis on cloud systems for data scientists.
  • AI engineers, a newer role in the field, primarily work with LLM and GenAI tools to adapt and build products, functioning closer to traditional software engineering than the machine learning engineer role.
  • Research scientists/engineers work on cutting-edge research and expanding machine learning knowledge, with research scientists typically requiring a Ph.D. and research engineers implementing theoretical ideas.
  • For both research scientist/engineer roles, expertise in Python, SQL, cloud platforms, software engineering fundamentals, and a higher level of machine learning knowledge is essential, with a Ph.D. recommended for research scientists.
  • The article emphasizes the importance of understanding the distinctions between industry and research roles and advises starting a career with a flexible approach to pivot towards desired roles.
  • Additionally, the author offers 1:1 coaching calls for career guidance and support to help individuals progress in the machine learning field.
  • Overall, the article provides a comprehensive overview of various machine learning job roles, highlighting the skills and responsibilities associated with each position in the industry.
  • The key takeaway is the need for a diverse skill set encompassing technical expertise, software engineering fundamentals, and domain knowledge to excel in machine learning roles.

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