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Steel Perlot | Los Angeles, CA, United States | $81k - $100k | |||
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This job is closed
Senior Machine Learning Engineer, Gigster Network
Responsibilities
- Programming the Machine Learning model
- Find out new insights using the data
- Testing extensively.
Requirements
- At least 2 years of experience with ML
- Strong skills in Python
Nice to have
- Big Data processing (Spark, Dask)
- Quantitative finance
- Time-series modeling
- Leveraging NLP to extract features from text data
- Deep Learning frameworks (Tensorflow or Pytorch)
Benefits
- World-class network. Be part of a network with the most talented people in the world.
- Amazing cutting-edge projects. Pick the projects from F500 companies that you’re interested in.
- 100% remote and global. Live your best life, wherever that may be, and never lose out on career opportunities because of it.
- Flexible work hours. There is a time to overlap with the customer’s timezone, but most of the time we work asynchronously and don’t care when you’re online, just that you deliver great results.
- Flexible offerings. Choose how many hours you want to work and how much you want to earn.
- Swag! Because who doesn’t love swag?
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.