Vacancy expired!
1) Machine learning engineer (2 roles) : Strong with Python, Streaming Kafka, Spark , Airflow , soild experience with Google Cloud (minimum 10 years of experience ) What You'll Do:
- You’ll be part of one of our Data Science teams, being a key player contributing to solve challenging problems on data-driven scenarios using Machine Learning at scale
- Deploy and maintain production models and services using both internal and open-source tools
- Collaborate closely with the engineering teams of B2B, sales, supply chain, fraud, user generated content and merchandising to ensure integration of our machine learning models into our microservices architecture
- Improve the pace of innovation and experimentation by introducing best practices and tools for Data Science workflow, code quality and DevOps
- Architect and write code to implement high-quality, scalable services with effective system boundaries that supports our long term vision & strategy
- Lead your teammates by example, as a senior member of the team your code and system designs demonstrate the path the team should follow
- Contribute to and influence our technology and product strategy and roadmaps
- Develop Google Cloud Platform based solutions within the Data Science team and help establish our team as the center of excellence for Google Cloud Platform
- Bachelor’s Degree in Computer Science or related field
- 10 years of previous experience in Software Engineering with a strong background in Software Development Lifecycle processes.
- Experience with implementation in low-latency real-time platforms and/or scalable offline batch processes
- Solid experience with Java and/or Python (production level code) and SQL
- Job scheduling technologies (ex: Airflow) and containerization for isolated development (Docker, Kubernetes) shouldn’t be foreign concepts to you.
- Knowledge of Microservice architectures.
- Capability to communicate and collaborate across the wider organization, influencing decisions without direct authority and always with inclusive, adaptable and persuasive communication.
- A passion for challenging problems and the ability to work with many different teams identifying architectural boundaries and platform interfaces.
- Desire to always be learning, and a collaborative team-player attitude!
- Familiarity with Data & ML processing pipelines
- Familiarity with Google Cloud Platform (also good if familiar with AWS or Azure)
- Proficiency in Big Data and Streaming tech (Spark/Flink, Kafka, or similar
- ID: #23580813
- State: Massachusetts Boston 02108 Boston USA
- City: Boston
- Salary: Depends on Experience
- Job type: Permanent
- Showed: 2021-11-28
- Deadline: 2022-01-22
- Category: Et cetera