Machine Leaner Engineer

  • s.com,
  • Remote or San Francisco, CA
  • 3 weeks ago
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s.com
Machine Learning, Kubernetes, Docker, Python, Java, C++, SQL, NoSQL, AWS, Azure, Hadoop, Spark, Kafka
Full Time
Depends on Experience
Work from home available

Job Description

  • 5+ years experience developing and deploying machine learning systems into production
  • Strong experience working with a variety of relational SQL and NoSQL databases
  • Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with at least one cloud provider solution (AWS, GCP, Azure)
  • Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Ability to work in a Linux environment
  • Industry experience building and productionizing innovative end-to-end Machine Learning systems
  • Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
  • Experience working with distributed systems, service oriented architectures and designing APIs
  • Strong knowledge of data pipeline and workflow management tools
  • Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
  • Relevant working experience with Docker and Kubernetes is a big plus
  • Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
  • Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing and A/B testing
  • Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
  • Work closely with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals and the mobile app
  • Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
  • Write efficient and well-organized software to ship products in an iterative, continual-release environment
  • Contribute to and promote good software engineering practices across the team
  • Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code
  • Communicate clearly and effectively to technical and non-technical audiences equally well
  • Actively contribute to and re-use community best practices


Company Information

s.com was formed in 1993 by combining the strengths of 12 successful staffing service companies across the US, to offer professional staffing services. As one of the top staffing firms in the country, we serve thousands of companies through a nationwide network of offices and on-site client locations, providing temporary, temp-to-hire, direct hire and project staffing. s.com's highly personal approach provides expert-to-expert, relationship-driven, bespoke recruitment services, that match client's staffing needs and deliver business results.
Dice Id : cxcrstff
Position Id : 6588198
Originally Posted : 2 months ago

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