The ML Engineer will be responsible for the implementation of data science projects, as well as expanding and optimizing our data science architecture. The ML Engineer is an experienced data science practitioner and data evangelist who enjoys finding valuable data insights. The ML Engineer will support our Data Scientists, Data Analysts and BI Developers on data initiatives and will ensure optimal data science architecture is consistent throughout ongoing projects. They are self-directed and comfortable supporting project demands across multiple systems and products. The ML Engineer will be excited by the prospect of turning data science experiments into machine learning systems that support our next generation of products and business initiatives.
Study and transform data science prototypes into automated ML software solutions.
Research, design and implement appropriate ML algorithms, systems and tools according to business needs.
Create and maintain optimal data science architecture.
Familiarize with time-series and finance data.
Assist Data Scientists to run machine learning tests and experiments.
Perform statistical analysis and fine-tune ML systems using test results.
Build necessary feedback loops into ML solutions and retrain systems when necessary.
Extend existing ML libraries and frameworks.
Keep our data secured and of high quality through on-prem and cloud data centers.
Work with stakeholders to assist with data science technical issues and support data science needs.
Keep abreast of developments in the data science field.
Experience building and optimizing data science and ML pipelines, architectures and data sets (including quality feedback loops).
Familiarize with SQL knowledge and experience working with relational databases, query authoring (SQL, Stored Procedures) as well as working familiarity with a variety of other database technologies (e.g. SSAS, SSIS, NoSQL).
Advanced working knowledge of Data Science programming languages, e.g. Python, R or ML .Net.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with datasets.
It is also beneficial, but not mandatory, to have experience using the following software/tools: Azure deployed Cloud Data Science Services, including Azure Data Bricks, Azure Kubernetes Service, Azure Cognitive Services, Azure Data Lake and Azure Synapse, C#, .Net Core, Web API.
Great problem-solving skills.
Proactive and effective self-learning and research skills.
Skills in reading and writing English.
Effective English language skills in video conferencing and face to face communication.
Monthly Salary and Benefits
Attractive salary based on your experience.
Salary for the 13th month up to 100%.
Dedication Bonus 40%.
Project bonus calculated based on your performance and will be paid 2 times/year.
Annual professional health check-up.
Premium health insurance package and family member.
Children scholarship every month.
A professional working environment with the latest tools and equipment for maximum effectiveness..
Productive based for flexible working hours.
Breakfast is available at the office in early morning and snack in the late afternoon.
Happy Friday every two weeks.
Team building allowance (100.000 VND/month).
Annual Company team building trip.
Clubs (Sports, Technical, English).
Exclusive training programs for all staff in technical, soft skills and process..
Great congratulation and special gifts when marriage, having children, and birthday.