MLOps Engineer
Trusting Social
Job Description
We are looking for qualified MLOps Engineer for the eKYC project, who will help us build up our digital identity verification products.
Your primary focus will be:
- MLOps:
- Apply MLOps techniques to optimize the AI model development process such as model serving, data/model versioning, autoML, and so on.
- Developing and managing the backend system which encapsulates and provides control flow of various ML models.
- Monitor and optimize system performance and resource consumption.
Integrate ML models and ensure consistency in model interfaces and interaction as per product requirements.
- Act as interfaces between product team, engineering team, data science and infrastructure teams to ensure smooth integration of ML solutions.
- Modeling:
- Developing various ML models in the field of computer vision and implementing novel solutions for diverse ML problems (supervised, semi-supervised, unsupervised, one-class).
- Optimize and deploy "tiny" ML solutions on limited computation power devices such as mobile devices and web platforms.
Your Skills and Experience- BS/MS in computer science or related fields
- Having 1 years of experience in Data science and MLOps
- Must be proficient in software design and software development.
- Must be proficient in Python, scripting language. Experience with other programming languages (C++, Java, Javascript ...) is a plus
- Must be proficient in Linux system, version control system (Git), virtualization and SW packaging tool (docker)
- Great communication skills
- Desired Skills:
- Experience with ML framework: Tensorflow, Pytorch, Mxnet, ONNX, Pandas, Numpy, kuberflow pipeline, airflow
- Experience with managing data science and computer vision toolkit, such as JupyterHub, OpenCV... is a plus
- Experience with Cloud Storage, CICD/Github workflows and Triton server are big pluses
- Experience with working with databases and query language is a plus.
- Familiar with MLOPs concept and toolkit is a plus
- Basic understanding of machine learning techniques and algorithms
- BS/MS in Computer Science with focus on machine learning is a plus
Why You'll Love Working Here- Competitive compensation package, including 13th-month salary and performance bonuses
- Comprehensive health care coverage for you and your dependents
- Generous leave policies, including annual leave, sick leave, and flexible work hours
- Convenient central district 1 office location, next to a future metro station
- Onsite lunch with multiple options, including vegetarian
- Grab for work allowance and fully equipped workstations
- Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
- Unlimited free coffee, tea, snacks, and fruit to keep you energized
- An opportunity to make a social impact by helping to democratize credit access in emerging markets.
Benefits
- Competitive compensation package, including 13th-month salary and performance bonuses
- Comprehensive health care coverage for you and your dependents
- Generous leave policies, including annual leave, sick leave, and flexible work hours
- Convenient central district 1 office location, next to a future metro station
- Onsite lunch with multiple options, including vegetarian
- Grab for work allowance and fully equipped workstations
- Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
- Unlimited free coffee, tea, snacks, and fruit to keep you energized
- An opportunity to make a social impact by helping to democratize credit access in emerging markets.