Machine Learning Engineer

Responsibilities:

Collaborate with ML engineers to deploy ML prototypes into production applications
Offer support and troubleshooting assistance for the ML pipelines
Define technical solutions for projects related to MLOps and ML application development and manage those projects to obtain the defined objectives
Manage our ML infrastructure (our server system)
Establish standards and practices around MLOps, including data governance, compliance, and data security
Collaborate with other leaders and managers to drive the roadmap for MLOps team
Coach junior members

Requirements:

3+ years of overall software engineering experience in which 3+ years of experience are with ML application development and ML DevOps
Familiar with Deep Learning frameworks such as TensorFlow/Keras or PyTorch and Python libraries (scikit- learn, numpy, scipy, pandas, matplotlib)
Good at writing technical reports and presentation of technical problems (in English).
Good at English (all 04 skills), knowing Japanese language is a plus.
Experience with Docker/Kubernetes and ML CI/CD workflows
Comfortably working with Linux especially Ubuntu
2+ years of overall engineering experience in distributed systems and data infrastructure
Strong analytical skills and mindset.
Having practical knowledge (from application viewpoint) with one of areas: machine learning, deep learning, data science, and optimization.
Experience working with ML engineers to build tooling and automation to support the entire ML engineering lifecycle, from experimentation to production operations
2+ years experience with Web application development
2+ years experience with AWS or other public cloud platforms (GCP, Azure, etc.)

Other attitude characteristics: proactive, responsible, can- do, and get- thing- done

Benefits:
Panasonic R&D Center Vietnam is one of the leading R&D Centers with professional and friendly global working environment. We offered flexible and diversified benefits package that ensure the best things to the employees.
Career Path Development
Clearly defined long- term multi- career roadmap;
Oversea business trips (Japan, China, Singapore, US, Mexico, EU, etc.)
Unlimited development & training opportunities (Language Training, Technical Training, Soft- skill Training, On- job Training, etc.)
Work- life Balance
Flexible lunch time;
Additional special holiday
Flexible working time that supports work- life balance (Core time: 9:00- 16:00; 5 days from Monday- Friday/ week)
Wellness
Well- designed Annual Health Check- up program;
Well- protected with 24/7 personal accident and medical care insurance;
Activities
Summer Vacation (Trip to famous tourist spots domestic/ overseas,...)
Team- building activities; Birthday Party; Year- end party; Sport Day/ Family Day
Cash Benefits
Attractive and competitive salary & bonus package depend on abilities, performance and competencies
Diversified allowance scheme
Physical Environment
Grade A Office with creative workplace and open space.
Well- equipped facilities/ devices and professional working platforms

Cập nhật gần nhất lúc: 2024-04-03 11:03:44