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Machine Learning Engineer Salary, Roles And Responsibilities, Skills and Resume | Simplilearn

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This presentation on "Machine Learning Engineer Salary, Skills & Resume" will help you understand who is a Machine Learning engineer, the salary of a Machine Learning engineer, skills required to become a Machine Learning engineer and what a Machine Learning engineer's resume should look like. Machine Learning is the study of algorithms and data models that computer systems utilize to perform specific tasks without using instructions, relying on previous patterns. To make this possible, a Machine Learning engineer is required. Now, let us get started and understand what the job of a Machine Learning engineer looks like. Below are the topics that we will be discussing in the presentation: 1. Introduction to Machine Learning 2. Responsibilities of a Machine Learning engineer 3. Salary Trends of a Machine Learning engineer 4. Skills of a Machine Learning engineer 5. Resume of a Machine Learning engineer Why learn Machine Learning? Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more. 5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems We recommend this Machine Learning training course for the following professionals in particular: 1. Developers aspiring to be a data scientist or Machine Learning engineer 2. Information architects who want to gain expertise in Machine Learning algorithms 3. Analytics professionals who want to work in Machine Learning or artificial intelligence 4. Graduates looking to build a career in data science and Machine Learning Learn more at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course

Educação
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What's in it for you? Introduction to Machine Learning
What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer
What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer Machine Learning Engineer salary trends
What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer Machine Learning Engineer salary trends Skills of a Machine Learning Engineer
What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer Machine Learning Engineer salary trends Skills of a Machine Learning Engineer Machine Learning Engineer resume
What does a Machine Learning Engineer do? Introduction to Machine Learning?
Machine learning is the study of algorithms and data models that computer systems utilize to perform specific tasks without using instructions, relying on previous patterns
Machine learning is the study of algorithms and data models that computer systems utilize to perform specific tasks without using instructions, relying on previous patterns If we have to build a robot with human-like intelligence, it should be able to able to learn for itself with previous experiences
Machine learning is the study of algorithms and data models that computer systems utilize to perform specific tasks without using instructions, relying on previous patterns If we have to build a robot with human-like intelligence, it should be able to able to learn for itself with previous experiences This is where the role of a Machine Learning Engineer comes in
A Machine Learning Engineer is someone who performs the following tasks
 Develops and implements production-ready algorithms and methods
 Co-develops Machine Learning solutions with data scientists and engineers
 Provides technical guidance to product teams on the choice of Machine Learning approaches appropriate for a task
 Machine Learning Engineer will design, implement and ship new algorithms
 Provides architectural guidance on changing prototypes to high-performance production models
 Provides feedback on tools and new features required to send it back to the development teams
What does a Machine Learning Engineer do? Responsibilities of a Machine Learning Engineer
Responsibilities of a Machine Learning Engineer Study and transform data science prototypes
Responsibilities of a Machine Learning Engineer Design Machine Learning systems Study and transform data science prototypes
Responsibilities of a Machine Learning Engineer Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
Responsibilities of a Machine Learning Engineer Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
Responsibilities of a Machine Learning Engineer Select appropriate datasets Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
Responsibilities of a Machine Learning Engineer Perform statistical analysis and fine-tuning Select appropriate datasets Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
Train and retrain systems when necessary Responsibilities of a Machine Learning Engineer Perform statistical analysis and fine-tuning Select appropriate datasets Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
What does a Machine Learning Engineer do? Salary Trends of a Machine Learning Engineer
Salary Trends of a Machine Learning Engineer The average salary of a Machine Learning Engineer in the United States is $121,707/year Source: Glassdoor
Salary Trends of a Machine Learning Engineer The average salary of a Machine Learning Engineer in India is ₹7,50,000/year Source: Glassdoor
The graph shows the average base salary vs. the growth in job postings from 2015 to 2018 Machine Learning Engineer Jobs Source: Indeed.com
The red line indicates the growth in job postings of Machine Learning Engineer It is observed that Machine Learning Engineer has a 344% growth of job postings from 2015 to 2019 Machine Learning Engineer Jobs Source: Indeed.com
Top Companies hiring for Machine Learning Engineers
What does a Machine Learning Engineer do? Skills of a Machine Learning Engineer
A Machine Learning Engineer should have the following skills
Machine Learning algorithms and libraries Data modelling and evaluation Applied Mathematics Programming
Programming Ability to adapt, implement and make changes to the programs when required 1. Programming
Programming 1. Programming Ability to adapt, implement and make changes to the programs when required Programming languages like C/ C++/ java/ python/ R studio
Understanding of matrices, derivatives and integrals is necessary. Statistical concepts like mean, standard deviation is required 2. Applied Mathematics Applied Mathematics
Understanding of matrices, derivatives and integrals is necessary. Statistical concepts like mean, standard deviation is required Understanding of probability algorithms like Naïve Bayes, Mixture models is required. 2. Applied Mathematics Applied Mathematics
Data modelling and evaluation Data modeling is the process of finding the hidden structure of a given data set and finding patterns such as correlations and clusters 3. Data modeling and evaluation
Data modelling and evaluation Data modeling is the process of finding the hidden structure of a given data set and finding patterns such as correlations and clusters A key part of the process is evaluating how good a given model is and choosing an appropriate accuracy/error measure and an evaluation strategy 3. Data modeling and evaluation
Machine Learning algorithms and libraries 4. Machine Learning algorithms and libraries A firm understanding of algorithm concepts like, linear regression, support vector machines, K- means, etc. and understanding how the algorithm works Understanding packages, libraries and APIs like Scikit learn, Theano, Tensorflow, Pandas, and NumPy
Bonus tip Note for the instructor Read and keep updating yourself-Keep yourself updated with latest technologies through blogs, videos, research papers, etc. Read papers like Google map-reduce, Google file system and Google big table Also, refer to Simplilearn YouTube videos on Machine learning to get a better insight Please show our course page at the end of the slide
What does a Machine Learning Engineer do? Resume of a Machine Learning Engineer
Sample Machine Learning resume Note for instructor : Please show the sample resumes
Machine Learning Engineer Salary, Roles And Responsibilities, Skills and Resume | Simplilearn

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Machine Learning Engineer Salary, Roles And Responsibilities, Skills and Resume | Simplilearn

  • 1.
  • 2. What's in it for you? Introduction to Machine Learning
  • 3. What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer
  • 4. What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer Machine Learning Engineer salary trends
  • 5. What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer Machine Learning Engineer salary trends Skills of a Machine Learning Engineer
  • 6. What's in it for you? Introduction to Machine Learning Responsibilities of a Machine Learning Engineer Machine Learning Engineer salary trends Skills of a Machine Learning Engineer Machine Learning Engineer resume
  • 7. What does a Machine Learning Engineer do? Introduction to Machine Learning?
  • 8. Machine learning is the study of algorithms and data models that computer systems utilize to perform specific tasks without using instructions, relying on previous patterns
  • 9. Machine learning is the study of algorithms and data models that computer systems utilize to perform specific tasks without using instructions, relying on previous patterns If we have to build a robot with human-like intelligence, it should be able to able to learn for itself with previous experiences
  • 10. Machine learning is the study of algorithms and data models that computer systems utilize to perform specific tasks without using instructions, relying on previous patterns If we have to build a robot with human-like intelligence, it should be able to able to learn for itself with previous experiences This is where the role of a Machine Learning Engineer comes in
  • 11. A Machine Learning Engineer is someone who performs the following tasks
  • 12.  Develops and implements production-ready algorithms and methods
  • 13.  Co-develops Machine Learning solutions with data scientists and engineers
  • 14.  Provides technical guidance to product teams on the choice of Machine Learning approaches appropriate for a task
  • 15.  Machine Learning Engineer will design, implement and ship new algorithms
  • 16.  Provides architectural guidance on changing prototypes to high-performance production models
  • 17.  Provides feedback on tools and new features required to send it back to the development teams
  • 18. What does a Machine Learning Engineer do? Responsibilities of a Machine Learning Engineer
  • 19. Responsibilities of a Machine Learning Engineer Study and transform data science prototypes
  • 20. Responsibilities of a Machine Learning Engineer Design Machine Learning systems Study and transform data science prototypes
  • 21. Responsibilities of a Machine Learning Engineer Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
  • 22. Responsibilities of a Machine Learning Engineer Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
  • 23. Responsibilities of a Machine Learning Engineer Select appropriate datasets Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
  • 24. Responsibilities of a Machine Learning Engineer Perform statistical analysis and fine-tuning Select appropriate datasets Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
  • 25. Train and retrain systems when necessary Responsibilities of a Machine Learning Engineer Perform statistical analysis and fine-tuning Select appropriate datasets Develop Machine Learning applications Implement Machine Learning algorithms Design Machine Learning systems Study and transform data science prototypes
  • 26. What does a Machine Learning Engineer do? Salary Trends of a Machine Learning Engineer
  • 27. Salary Trends of a Machine Learning Engineer The average salary of a Machine Learning Engineer in the United States is $121,707/year Source: Glassdoor
  • 28. Salary Trends of a Machine Learning Engineer The average salary of a Machine Learning Engineer in India is ₹7,50,000/year Source: Glassdoor
  • 29. The graph shows the average base salary vs. the growth in job postings from 2015 to 2018 Machine Learning Engineer Jobs Source: Indeed.com
  • 30. The red line indicates the growth in job postings of Machine Learning Engineer It is observed that Machine Learning Engineer has a 344% growth of job postings from 2015 to 2019 Machine Learning Engineer Jobs Source: Indeed.com
  • 31. Top Companies hiring for Machine Learning Engineers
  • 32. What does a Machine Learning Engineer do? Skills of a Machine Learning Engineer
  • 33. A Machine Learning Engineer should have the following skills
  • 34. Machine Learning algorithms and libraries Data modelling and evaluation Applied Mathematics Programming
  • 35. Programming Ability to adapt, implement and make changes to the programs when required 1. Programming
  • 36. Programming 1. Programming Ability to adapt, implement and make changes to the programs when required Programming languages like C/ C++/ java/ python/ R studio
  • 37. Understanding of matrices, derivatives and integrals is necessary. Statistical concepts like mean, standard deviation is required 2. Applied Mathematics Applied Mathematics
  • 38. Understanding of matrices, derivatives and integrals is necessary. Statistical concepts like mean, standard deviation is required Understanding of probability algorithms like Naïve Bayes, Mixture models is required. 2. Applied Mathematics Applied Mathematics
  • 39. Data modelling and evaluation Data modeling is the process of finding the hidden structure of a given data set and finding patterns such as correlations and clusters 3. Data modeling and evaluation
  • 40. Data modelling and evaluation Data modeling is the process of finding the hidden structure of a given data set and finding patterns such as correlations and clusters A key part of the process is evaluating how good a given model is and choosing an appropriate accuracy/error measure and an evaluation strategy 3. Data modeling and evaluation
  • 41. Machine Learning algorithms and libraries 4. Machine Learning algorithms and libraries A firm understanding of algorithm concepts like, linear regression, support vector machines, K- means, etc. and understanding how the algorithm works Understanding packages, libraries and APIs like Scikit learn, Theano, Tensorflow, Pandas, and NumPy
  • 42. Bonus tip Note for the instructor Read and keep updating yourself-Keep yourself updated with latest technologies through blogs, videos, research papers, etc. Read papers like Google map-reduce, Google file system and Google big table Also, refer to Simplilearn YouTube videos on Machine learning to get a better insight Please show our course page at the end of the slide
  • 43. What does a Machine Learning Engineer do? Resume of a Machine Learning Engineer
  • 44. Sample Machine Learning resume Note for instructor : Please show the sample resumes