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Binance Accelerator Programme - Technical Support Engineer (AI/ML)
Responsibilities:
- Provide technical support and manage urgent escalations in high-traffic production environments, ensuring smooth operations.
- Collaborate closely with stakeholders, including customers, product managers, developers, and the management team, to resolve issues effectively.
- Analyze service ticket data to identify root causes, draft Root Cause Analysis (RCA) reports, and recommend system-level improvements.
- Work with global product and development teams to participate in iteration, release, and roadmap planning.
- Manage multiple incidents and deadlines in a fast-paced, dynamic environment with high flexibility and prioritization skills.
- Continuously improve service quality and efficiency through process optimization, coaching, and documentation.
- Support and optimize customer and business processes, integrating AI and Machine Learning solutions where applicable.
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
- 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
- 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
- Ability to start this program in Jane/February 2025 for 6 months
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.