| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
Coinbase | Remote | $218k - $256k | |||
TradingView | Malaga, Spain | $105k - $110k | |||
Coinbase | San Francisco, CA, United States | $105k - $150k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Tether | TI Lugano CH | $112k - $115k | |||
OpenGradient | United States | $126k - $127k | |||
Entangle Labs | Dubai, United Arab Emirates | $84k - $106k | |||
Brave | London, United Kingdom | $84k - $108k | |||
Whatnot | San Francisco, CA, United States | $205k - $275k | |||
CEF AI | San Francisco, CA, United States | $150k - $180k | |||
Binance | Abu Dhabi, United Arab Emirates |
| |||
Launchpadtechnologiesinc | Remote | $126k - $127k | |||
MoonPay | Barcelona, Spain | $126k - $127k | |||
Bluesky | Remote | $115k - $180k | |||
Bluesky | Remote | $123k - $180k |
Binance Accelerator Programme - Backend Engineer (Techops AI/ML)
Responsibilities:
- Design and implement AI-driven automation tools using Python to enhance TechOps efficiency.
- Work closely with TechOps engineers to identify automation opportunities and deliver tailored AI solutions.
- Optimize and scale AI models and automation tools to handle large datasets and high-volume tasks within TechOps.
- Conduct thorough testing and debugging to ensure the reliability and accuracy of AI automation tools.
- Create clear documentation and communicate effectively with stakeholders to provide updates and gather feedback.
- Provide support and training to TechOps team members to ensure effective utilization of AI automation tools.
- Provide technical support and handling urgent escalation from external or internal customers or users in production environment with high-volume of transaction traffic
- Analyse service ticket data, identify incident root cause, draft Root Cause Analysis (RCA) report and follow possible maintenance for system-level improvement
- Very flexible with capability to prioritize multiple incidents and deadlines to facilitate well in a fast-paced, rapidly evolving organization
- High responsibility in continuous improvement in service quality and efficiency
Requirements:
- Undergraduates in Computer Science or related field (preferably with relevant internship experience) can be considered
- Must have strong capabilities to identify, analyze and resolve problems logically and systematically
- Unix/Linux with shell scripting, etc
- Databases experience (Oracle, MySQL)
- Web or App related project support experience with HTTP protocol, JavaScript, RESTful, Json, Web Service, TCP/IP, Linux/Unix
- Strong skill in python coding
- Understanding of software development methodologies and coding standards
- Experience with software application debugging and troubleshooting
- Familiar with technical support process and escalation management
- Passionate with technical support to solve complicated customer issues
- Ability to present or speak fluently to engineers, product manager and customers
- Background in Software Development is a plus
- Comfortable performing shift-work (eg. 7am-4pm, 10am-7pm from Monday to Friday, Tuesday to Saturday or Sunday to Thursday) - it would be rotated after 2-3 months
- Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders
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.