Senior Machine Learning Engineer
- Build robust, scalable model-serving infrastructure for real-time decision making as well as research and A/B testing
- Proven experience with Vertex AI, including the design and implementation of ML pipelines on GCP
- Define ML best practices and lead technical discussions and influence roadmap priorities
- Partner with core engineering teams to translate business objectives into ML solutions
- Manage and prioritize tasks while ensuring timely delivery under high impact environment
- Proactively identify failure modes and implement automated testing and rollback strategies
- 5+ years of experience in machine learning engineering, with at least 2+ years in senior/staff level role
- Hands-on experience with Vertex AI, covering the end-to-end design and deployment of ML pipelines on GCP
- Proficiency in machine learning frameworks (like Tensorflow, Keras, or PyTorch) and scientific libraries (like scikit-learn)
- Strong proficiency in Docker, including containerizing ML applications and deploying them in production environments
- Great programmer with strong coding skills in Python
- Experience in an object oriented language like C#, Java or Scala
- Experience with cloud infrastructure (GCP/AWS) and distributed data system (BigQuery and Clickhouse)
- Experience troubleshooting and resolving incidents in a fast-paced, high-pressure environment
- Strong awareness in production and industrialisation
- Experience in AdTech
- Experience in building GenAI prototypes and applications
- Good understanding of general data science algorithms and machine learning
- Good knowledge of math, probability and statistics
- Working proficiency and communication skills in verbal and written English
- Participation in data science competitions like Kaggle
- Passion for playing with large volume of data
- You like data visualization and frontend development
- Devops spirit
Minimum qualifications:
Nice to have:
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