Add your company website/link
to this blog page for only $40 Purchase now!Continue
Responsibilities and duties of a traditional machine learning engineer, who operates in the field of data engineering, data preparation, model design and tuning process, machine learning development and deployment, and logistic regression. A machine learning engineer may work on a variety of machine learning and data analysis projects, such as recommendation engines and text analytics.
"As part of my most recent professional venture as a Senior Machine Learning Engineer at XS Capital Inc, I was responsible for a range of roles & responsibilities such as Web Scraping, Data Visualization, Regression Modeling, Predictive Modeling & Algorithm Development. Getting into the specifics, I developed predictive models and supervised the testing of over 50 financial-centric products and services. I also determined optimal pricing strategies to achieve 80% of the company's revenue goals. I predicted stock price with 90% accuracy to enable informed investments and improved the company's safety networks by putting in place multiple touch-sensitive ML systems for all office floors". Machine learning works with huge data sets, so fundamental knowledge of computer science and the underlying architecture is compulsory. Expertise in working with big data analytics, and complex data structures, are a must. Thus, a degree or a formal course in these domains is required for a machine learning career. Your resume must display your skills at working with parallel/distributed architecture, data structure like trees and graphs, and complex computations. These are required to apply or implement, at the time of programming. Additional certifications for practising problems and coding will hone your ability with big data and distributed computing. Experience in computer science applications will go a long way in securing you a job in this field.
To apply for a job in Machine learning, you are required to learn some of the commonly used programming languages. It implements any language with the essential components and features, even though it is largely bound by concept and theory. Some programming languages are considered especially suited to complex machine learning projects. So, working knowledge of these programming languages adds value to your machine learning resume. (Source: www.mygreatlearning.com)
Mid-level machine learning engineers have 5-9 years of experience. At this career stage, your specialization has likely narrowed to a particular focus. To stay relevant, add new credentials you’ve accumulated to update your skills—examples might include credentials that certify your ability to implement machine learning solutions in particular cloud-based environments like Amazon Web Services. Guide the recruiter to the conclusion that you are the best candidate for the machine learning engineer job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.
Guide the recruiter to the conclusion that you are the best candidate for the machine learning engineer job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired. (Source: www.velvetjobs.com)