Machine Learning Engineer

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