Hello,
I am interested in a career as machine learning engineer. Not only because it is a field admittedly in high demand but also because I do like the prospect of being able to establish a new learning curve. However, I am trained as mechanical engineer.
So what would be the best angle of attack for me to penetrate this job market/industry ? I don't mind taking a salary cut and start at ground level.
Some options I already envisaged:
- 1/ Look for freelance projects on freelancing platforms and build up experience / portfolio. How difficult is that?
- 2/ Approach employers directly for entry-level position or internship. How to ? Most of employers I applied to have been non responsive or declined my applications.
- 3/ Enroll into a master or equivalent graduate program from a recognized school. What courses would I need to focus on and what would provide shortest route to employment? I thought about a mix of university courses and self-learning certificates. Would it be sufficient to target mini-programs from universities, means not graduate with a master of bachelor degree but getting a certificate with accredited semester credits ? How would this perceived by prospective employers?
Also - probably a question for the most experienced, I would like to know which skills would be a must for me to learn. As I said I am trained as mechanical engineer so I do have some basic experience in coding. I also do have some modest mathematical background including algebra, statistics which I guess can be transferable but need to be upgraded and extended. How would you go about choosing the set of skills (theoretical and practical: ecosystems/platform to master) which is / will be most aligned to industry needs?
Thanks in advance for any support in this matter.
I am interested in a career as machine learning engineer. Not only because it is a field admittedly in high demand but also because I do like the prospect of being able to establish a new learning curve. However, I am trained as mechanical engineer.
So what would be the best angle of attack for me to penetrate this job market/industry ? I don't mind taking a salary cut and start at ground level.
Some options I already envisaged:
- 1/ Look for freelance projects on freelancing platforms and build up experience / portfolio. How difficult is that?
- 2/ Approach employers directly for entry-level position or internship. How to ? Most of employers I applied to have been non responsive or declined my applications.
- 3/ Enroll into a master or equivalent graduate program from a recognized school. What courses would I need to focus on and what would provide shortest route to employment? I thought about a mix of university courses and self-learning certificates. Would it be sufficient to target mini-programs from universities, means not graduate with a master of bachelor degree but getting a certificate with accredited semester credits ? How would this perceived by prospective employers?
Also - probably a question for the most experienced, I would like to know which skills would be a must for me to learn. As I said I am trained as mechanical engineer so I do have some basic experience in coding. I also do have some modest mathematical background including algebra, statistics which I guess can be transferable but need to be upgraded and extended. How would you go about choosing the set of skills (theoretical and practical: ecosystems/platform to master) which is / will be most aligned to industry needs?
Thanks in advance for any support in this matter.