Develop and deploy scalable deep learning models to improve experience of Target guest
Architect and implement large-scale AI systems using test-driven development practices
Build NLP technology for query and document analysis, processing, and understandig
Create data pipelines for feature/label extraction and generation
Conduct data analysis to identify opportunities and improve models
Conduct research to advance the state-of-the-art machine learning and NLP technologies
Contributing to the operations/building of AI pipelines
Adopting Target's infrastructural platforms and operationalize tools and systems around them
Mentor and partner with other engineers to develop software that meets business needs
Follow agile methodology for software development and technical documentation
Innovate constantly and keep systems up to date with current technologies
About you:
4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
6+ years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency
2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting
Highly proficient programming in Java/ Scala and/ or Python
Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark
Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization
Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented - able to meet tight timelines
