Machine Leaning Engineer Remote

05 Nov 2024

Vacancy expired!

Role: ML Engineer Location for now: Remote Contract 1) Machine learning engineer (2 roles) : Strong with Python, Streaming Kafka, Spark , Airflow ,solid experience with Google Cloud (minimum 10 years of experience ) Please refer the job description. Machine Leaning Engineer 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 What You'll Need: 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! Nice to have would be some experience with: 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 Thanks, Mani Maran. Urbane Systems. Phone: Email:

  • ID: #22200651
  • State: California Sanfrancisco 94102 Sanfrancisco USA
  • City: Sanfrancisco
  • Salary: $Negotiable
  • Job type: Contract
  • Showed: 2021-11-05
  • Deadline: 2021-12-31
  • Category: Et cetera