Mô tả công việc

Reporting to: IT Instech & Innovation Manager

Position purpose

An IT Instech & Innovation Executive

• Will support the process of extracting value from company data.
• Lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Be passionate about artificial intelligence and stay up-to-date with the latest developments in the field

Accountabilities:

• Conduct facilitated workshops to elicit requirements both functional and technical requirements. (% of time: 10%)

• Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed . (% of time: 30%)

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world. (% of time: 30%)
• Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. (% of time: 20%)
• Training models and tuning their hyperparameters. (% of time: 5%)
• Research, study and propose to apply new emerging technology. (% of time: 5%)

Working relationships:

Internal interface:

• The position reports to the IT Instech & Innovation Assistant Manager

• All employees, particularly those in the OP Process Improvement and Automation Project Team, IT Application Development, Operations Division, Agency Administration Department, and Finance Division, will be internal clients of the IT Instech & Innovation Senior Executive.

External Interface: External contacts will include but not limited to software providers/consultants, tech startup, innovation labs, university…

Yêu cầu công việc

Education, no. of year experience:

•  
• Master’s or Ph.D. in computer science, mathematics, or statistics
• Experiences in life insurance/financial business is preferable

Technical skills:

•  
• Experience working with Java, Python, R, C++, C, JavaScript, Scala...
• Experience with vision processing, deep neural networks, Gaussian processes, and reinforcement learning
• A solid understanding of both probability and statistics
• A firm understanding of mathematics (including the role of algorithm theory in machine learning and complex algorithms that are needed to help machines learn and communicate)
• Advanced knowledge of engineering
• Strong analytical skills
• Experience using programming tools like MATLAB
• Experience working with large amounts of data in a high throughput environment
• Linux SysAdmin skills
• Experience working with distributed systems tools like Etcd, zookeeper, and consul
• Experience working with messaging tools like Kafka, RabbitMQ, and ZeroMQ
• Extensive knowledge of machine learning evaluation metrics and best practices
• Competency with infrastructure as code (for example, Terraform or Cloud formation)

Soft skills:

•  
• Strategic, analytic and creative thinker
• Excellent interpersonal and communication skills
• Risk takers, Self-starters and ambitious professionals with both technical and commercial acumen
• Ability to multi-task. Work well in team environment, as well as, independently
• Able to work under pressure and meet tight deadlines

Personal attributes

• • Good team player, independent and result-oriented
  • Flexible and open to changes
  • Attention to details