PAL TECH ★ 3.2

Position summary:

As a Machine Learning Engineer, you will be responsible for the development of highly-scalable classifiers, models, algorithms and tools which will form the basis to automate bot detection for our system. You must have a strong background in Machine Learning, Statistics and Algorithm Development experience.

Responsibility:

• Study and transform data science prototypes.

• Design and develop machine learning and deep learning systems.

• Running machine learning tests and experiments.

• Perform AI model optimization & model compression.

• Perform statistical analysis and fine-tuning using test results.

• Analyse and enhance application for maximum speed and scalability.

• Collaborate with team members and stakeholders.

• Familiar and grow your own expertise in machine learning.

• Practice disciplined software engineering (e.g. automated testing, code reviews).

• Bachelor’s degree in Computer Science, Software Engineering, Computational Statistics or related field, or equivalent practical experience specializing in Machine Learning is desirable.

• Minimum 3 years of experience with Machine Learning algorithms and Probabilistic Modelling.

• Minimum 3 years of relevant experience with statistical computing Python.

• Train machine learning and deep learning models on a computing cluster to perform abuse and threat detection.

• Good knowledge of outlier detection algorithms.

• Experience or interest in Web Security, HTTP protocols and Javascript.

• Experience using cloud computing platforms such as EC2 (AWS).

• Familiar with microservices architecture with Docker, Kubernetes is a PLUS.

• Ability to convey complex information through data visualization.

• Strong communication in both verbal and written is required.

• Strong analytical, conceptual, and problem-solving abilities with attention to detail.

• Ability to multi-task, and manage multiple assignments in a fast-paced environment.

• Must have the initiative to work independently but also be able to work effectively with team members.

Benefits:

• Attractive compensation, regular assessments, and salary reviews;
• 13th-month salary, annual bonus, and performance bonus;
• 20 days annual leave;
• 100% salary during the probation period;
• 100% social insurance, premium healthcare insurance, and annual routine check-up;
• Unlimited access to a selection of food and beverages;
• Special celebrations on 8/3, Father's day, 20/10, Christmas, Tet holiday, etc.;
• Company activities: annual teambuilding, New Year party, quarterly company party, weekly fruits day, monthly birthday, etc.;
• Sports activities: badminton, football, bowling, cycling, etc.;
• In-house acoustic music band.
• Cinema days with blockbuster movies.

Projects & Team:

• International working environment with a young, friendly, dynamic team, and creative team;
• Flat organizational structure;
• ISO/IEC 27001:2013 Information Security Management Standards;
• The company sponsors overseas in-class training and online training courses.