Machine Learning (ML) Engineer, SFO, CA
Kutir Technologies San Francisco, CA
- Expired: over a month ago. Applications are no longer accepted.
University or advanced degree in engineering, computer science, mathematics, or a related field
7+ years experience developing and deploying machine learning systems into production
Experience working with a variety of relational SQL and NoSQL databases
Experience working with big data tools: Hadoop, Spark, Kafka , etc .
Experience with at least one cloud provider solution (AWS, GCP, Azure)
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala , etc .
Experience working in a Linux environment
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
As the Machine Learning Engineer, you will work along side the Data Science team to operationalize the Machine Learning Models in Production on a broad set of domains that power a data-driven transformation of our standard business procedures across channels and organizations. You will develop and deploy novel approaches to optimize existing machine learning systems to maximize their value and increase consumer satisfaction at every brand touchpoint. You will report into the Director of AI/ML Engineering.
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.
Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
Work with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals and the Client's mobile app
Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
Write efficient software to ship products in an iterative, continual -release environment.
Contribute to and promote good software engineering practices across the team.
Contribute to and re-use community best practices.
Embody the values and passions that characterize Organization., with empathy to engage with colleagues from multiple backgrounds.
Personalized in-session product recommendation engine
Automated text summarization and clustering
Next-Best offer prediction
Design Micro-assortments for Next-Gen stores
Anomaly detection and Root Cause Analysis
Unified consumer profile with probabilistic record linkage
Visual search for similar and complementary products
AddressSan Francisco, CA
ManufacturingView all jobs at Kutir Technologies