[xrecnet] Merchandise Planning Director / Product Manager - Remote

 

Hi

 

This is Aravinnd, - Recruitment Team from MSR Cosmos

We have an urgent requirement as follows:

Please respond with resumes in MS-Word Format with the following details to aravind@msrcosmos.com

Full Name :
Location :

Relocation :
Contact Number :
Email :

Skype Id :

Last 4 digit SSNO :
Availability for project :

Availability for Interviews :
Visa Status and Validity :

D O B :

Years of Exp :

                                                                             
Requirement Details

 

Merchandise Planning Director / Product Manager

Remote

 

Champion agile development and modern product management best practices as a mean to build the right things in the right way.

 

Must have  5+ years in a leadership/management role with experience building engineering teams. Experience in recommendations and search engines is a huge plus (e.g., personalization at scale, Elasticsearch, performance benchmarks, etc).
10+ years of progressing experience in software/data engineering, ideating and architecting distributed, scalable, enterprise-class systems.

Ability to dive deep into system architecture, design, performance metrics, code, test plans, project plans, deployments, and operations.
Proficiency in the entire machine learning lifecycle implementation and management (i.e., ML Model Development and Deployment Frameworks, Data Architecture, ELT/ETL tools & concepts, Data Integration, Data Catalog and Query, Data Wrangling, Data Quality, etc.) and experience working with Data scientists.
Proficiency in distributed computing, micro-services architecture, caching frameworks (eg: Redis), data structures, algorithms, operating systems, NoSQL data stores (eg: MongoDB), databases and server-side technologies with an eye towards scale (PostgreSQL or MySQL), automation, resiliency, high availability, and user experience.

Experience with Java/J2EE, RESTful APIs, event driven architecture, cloud computing (Google Cloud, AWS), integration patterns and machine learning stack (e.g., Airflow/Kuberflow, Dockers, Kubernetes etc.)
Experience with continuous integration and continuous development solutions.
Familiarity with A/B experimentation and data/metric-driven product development.

 

Stay Safe

 

Thanks & Regards, 

Aravinnd
MSR COSMOS

6200 Stoneridge Mall Rd, Ste 300, Pleasanton, CA - 94588

Desk : 925 399 7145

Textnow : 732 802 1569

Fax : 925-219-0934

Email : aravind@msrcosmos.com   
URL: http://www.msrcosmos.com

• Microsoft Gold Partner
• SAP Silver Partner
• Oracle Gold Partner
• Hortonworks Silver Partner
• Cloudera Silver Partner
• E-Verified
• WBE Certified

 

 

Note: This email is not intended to be a solicitation.  Please accept our apologies and reply in the subject heading with REMOVE to be removed from our Mailing list.

 

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