Python Backend Engineer (ML Platform)
Агентство / HR ресурс NewHR ( newhr.ru )
San Francisco, CA, USA
Сеньор
19 октября 2022
Удаленная работа
Опыт работы более 5 летот 7 000 до 9 000 $
Опыт работы более 5 летот 7 000 до 9 000 $
Короткая ссылка: gkjb.ru/hYVy
Описание вакансии
Who we are
- The industry's first hybrid cloud data security provider, the market leading DSPM platform.
- The company has been included in the 2022 Cool Vendors in Data Security – Secure and Accelerate Advanced Use Cases1 by Gartner.
- Super professional team of enthusiastic developers, each with rich experience
- HQ in USA, San Francisco
- Fully English speaking team
Your responsibilities
- Implementation of new features
- Code scaling
- Work with distributed systems
- Code optimization (e.g. data ingestion pipeline, ML model inference)
- ML Pipeline Automation
- Visualization (e.g. Plotly Dash)
- Risk assessment and compliance automation
- Continuous Integration/Delivery for Machine Learning projects.
- Improve and advance DataOps and MLOps infrastructure and operational processes.
Our expectations
Must:
- Experience in software development 5+ years
- Strong background in Python development and cloud infrastructure (experience with at least one of the cloud - AWS/GCP/Azure)
Essential: [most, but not all, of the points below]:
- Experience with developing ETL pipelines (ex. Apache Spark, DeltaLake, Presto)
- Experience with Kubeflow, MLFlow, Airflow
- Experience with data stores including Postgres, Redis, etc
- Experience with building REST API endpoints using Python frameworks
- Experience with ElasticSearch, Docker, Kubernetes is a strong advantage
- Experience with visualization libraries such as Plotly
- Experience with Python code optimization
Optional Requirements
- Experience in DevOps/MLOps as a plus
- Experience in frontend development as a plus
- Experience with ML Inference servers such as Triton, KFServing, or Seldon Core.
- Experience with infrastructure as code tools such as Terraform, Cloudformation
- Experience with deep learning frameworks such as TensorFlow, Pytorch, or Keras.
- General understanding of ML fundamentals
- Experience working with data scientists and/or ML engineers and building auto-scaling ML systems.
- Experience with building cybersecurity systems.
Knowledge of languages:
English - С1, C2
Important: Currency account in a foreign bank or willingness to open it quickly
We offer
- Remote work
- Base salary paid on the monthly basis in dollars ($ 7 000-9 000+)
- Stock options
- A contract with you as an individual entrepreneur
- 3 weeks of paid vacation and local holidays