Machine Learning Engineer
1 week ago
Machine Learning Engineer:
Dai-ichi Life Việt Nam
- Ứng Tuyển
Java JavaScript Python
- Đăng nhập để xem mức lương
- 149 Nguyen Van Troi, Phu Nhuan, Ho Chi Minh Xem bản đồ Tại văn phòng 38 phút trước
Mô Tả Công Việc:
- 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 uptodate with the latest developments in the field
PRINCIPAL ACCOUNTABILITIES
- Conduct facilitated workshops to elicit requirements both functional and technical requirements
- Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed
- 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
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Training models and tuning their hyperparameters
Yêu Cầu Công Việc:
Education, no
of year experience:
- Master's or Ph.
- 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, Selfstarters and ambitious professionals with both technical and commercial acumen
- Ability to multitask. 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 resultoriented
- Flexible and open to changes
- Attention to details
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