AI Engineer

Hash Consulting Grp

• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Analyzing the errors of the model and designing strategies to overcome them.
• Research and develop AI-based applications including regression, classification, clustering, recommendation, deep learning.
• Research and develop in cloud environment (Amazon, Google, IBM)
• Researching & developing solutions in ML/DL field.
• Analyzing and understanding customer problems to convert these insights into system requirements.
• Build up strategy and implement modeling and prediction using AI/ML.
• Conducting statistical analysis and interpreting the results so that they can guide the organization's decision-making process.

• Graduated from university in Information Technology or equivalent.
• 2+ year experience in AI field
• Deep knowledge of math, probability, statistics and algorithms
• Understanding of data structures, data modeling of production products
• Experience with development environments and tools such as SQL, Git, Linux and Docker
• Working experience in AI systems, like recommendation engine, data preparation, feature selection, target metrics, model evaluation, validation.
• Good at mathematics and basic understanding of data science
• Strong programming skills with Python & C++ knowledge a plus.
• Good knowledge and experiences working with AI and ML.
• Strong passion for big data and data science.

RELEVANT SKILLS AND KNOWLEDGE

• Good team-working and communication skills.
• Fluent in English.
• Good at study/search skill
• Strong logical thinking abilities
• Good organizing, communication, analysis and problem-solving skills.
• Self-research and strong teamwork skills.

• Probation time (2 months) with full salary
• Performance review twice a year
• Attractive salary, 13th month salary
• Free coffee, tea, snack, …
• 14-day annual leave per year for first 03 years, and plus 1 day for each increasing year from 4th year, and maximum is 20-day.
• Personal career development plan
• Training necessary skillset under job requirements.
• Working time: Mon – Fri, time: 9:00 AM – 6:00 PM (break time: 12:00PM – 1:30 PM)