Required Skills

Machine Learning Engineer

Work Authorization

  • Us Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 16th Aug 2021

JOB DETAIL

• 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.

• 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.

 

• Personalized in-session product recommendation engine

• Customer Segmentation

• 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

 

More About You

• 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

We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered.

Company Information