IT Instech & Innovation Officer - Machine Learning Engineer role

1.    Job purpose

An IT Instech & Innovation Senior 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.

2.    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
• Research, study, and propose to apply new emerging technology.

3.    Requirements

Education & Experience

• University degree in computer science, mathematics, or statistics, Master is preferable.
• Experiences in life insurance/financial business is preferable.

Technical skills  

Education, no. of year experience:

• Master’s or Ph.D. in computer science, mathematics, or statistics
• 2-3 years of 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.

4.    Challenges

• Ability to work under pressure