The document outlines the role of a machine learning (ML) engineer, detailing job trends, salaries, and required skills across various locations, with Seattle, WA, having the highest job openings. It provides an overview of typical responsibilities, educational qualifications, and necessary technical and non-technical skills for aspiring ML engineers. Additionally, it highlights various compensation ranges and the significance of staying updated in the rapidly evolving field of machine learning.

4. Who is a ML Engineer ?

5. ML Engineer Job Trends
Location No. of Jobs
Seattle, WA 2065
New York, NY 1189
San Francisco, CA 1107
Bengaluru, Karnataka 1101
Sunnyvale, CA 500
JOB OPENINGS
JOB OPENING
Salary Wise Percentage
$90,000
$110,000
$120,000
$130,000
$140,000
32.70
25.64
19.73
13.67
8.2

6. ML Engineer Salary Trends
Average Salary (US)
Average Salary (IND)
$111,490
₹719,646

7. ML Engineer Salary Trends
Entry Level ML Engineer
Compensation Salary Range Per Annum
Salary $76,953 - $151,779
Bonus $2,974 - $25,541
Profit Sharing $1,934 - $51,285
Total Pay $75,184 - $162,727

8. SKILLS
edureka!
Programming Languages Calculus & Statistics Signal Processing
Applied Maths Neural Networks Language Processing

9. ML Engineer : Job Description OR Roles
Depending on their level of expertise, ML Engineers may:
• Study and transform Data Science Prototypes
• Design Machine Learning Systems
• Research and Implement appropriate ML algorithms and tools
• Develop Machine Learning Applications according to requirements
• Select Appropriate Datasets and Data Representation methods
• Run machine learning Tests and experiments
• Perform Statistical Analysis and fine-tuning using test results
• Train and Retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of Developments in the field

10. ML Engineer Resume

11. ML Engineer Resume

12. ML Engineer Resume
Clear Career Objectives
SKILLS REQUIRED
Technical
Non-Technical

13. ML Engineer Resume
SKILLS REQUIRED
Technical Skills
• Programming Languages
• Statistics and Linear Algebra
• Advanced Signal Processing Techniques
• Advance Mathematics
• Neural Networks
• Language Processing
Non-Technical Skills
• Industry Knowledge
• Effective Communication
• Rapid Prototyping
• Keep Updated

14. ML Engineer Resume
Educational Qualifications
Bachelor’s OR Master’s
• Computer Science / IT
• Economics
• Statistics
• Mathematics
Company Certifications

15. ML Engineer Resume
Professional Experience
Computer Science
Statistics
Data Analysis
Machine Learning
ML Related Projects

16. Companies Hiring ML Engineer

17. YouTube Video Link in the Description