Machine Learning (ML) Engineer

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A Machine Learning (ML) Engineer is a AI engineer who can fulfill an ML Engineer job (mainly performs ML engineering tasks to deliver ML systems).



References

2023

  • web-search summary
    • An ML (Machine Learning) Engineer is an advanced programmer who specializes in creating and managing software that incorporates artificial intelligence and machine learning. They handle large datasets and complex models to teach algorithms that yield beneficial outcomes and forecasts. Part of their duties encompass gathering and preparing data, constructing and training models, as well as launching them into production. ML Engineers collaborate with various experts like data scientists, data analysts, and IT professionals to create and execute solutions based on machine learning. They require a robust grasp of programming, expertise in big data analytics, and fluency in deep learning mechanisms and GPU hardware. This highly sought-after career offers attractive salaries, the prospect of advancement and creativity, and the capability to crack difficult problems.

2023

  • chat
    • Applied ML Research Scientists: They focus on developing machine learning algorithms and techniques tailored to address specific problems in clinical trials. Their success criteria include the ability to create innovative and effective models, the impact of their research on the company's products, and the improvements in the efficiency or accuracy of clinical trial processes.
    • ML Engineers: They are responsible for implementing, optimizing, and deploying ML models in the clinical trial SaaS platform. Their success criteria include the efficiency and scalability of the models, the quality of the code they produce, and the seamless integration of these models into the company's existing infrastructure.

2021

  • https://techspective.net/2021/02/20/what-is-the-role-of-a-machine-learning-engineer/
    • QUOTE: ... To say that a machine learning engineer’s job is similar to a computer programmer is a dichotomy. While performing programming to an extent, a machine learning engineer’s task is to develop the machine to perform tasks without being explicitly told.

      Computer programming takes rules and data, and then turning them into solutions. Meanwhile, machine learning takes solutions and data, and then turning them into rules. Furthermore, computer programming can develop a general-use calculator, while machine learning can develop one for a specific niche.

       Machine learning engineers work closely with data scientists and software engineers. They create control models using data that are derived from the models defined by data scientists, allowing the machine to understand commands. From there, the software engineer designs the user interface from which the machine will operate.

      The final product is software, like cnvrg MLOps, combining best practices from DevOps, software development and I.T. operations, and machine learning engineering. Organizations tend to spend more on infrastructure development when a machine learning-ready software can provide a precise estimate on how much they need. ...

2021

2017