1100 Professional Level Systems Engineer jobs in San Francisco,CA

Field Technician (Mechanic) (Pump, Power & HVAC)

EquipmentShare

San Francisco, CA 94112

Must own tools applicable to position
Advanced mechanical aptitude and working knowledge of tools
Experience working on power generators and/or commercial HVAC equipment, performing inspections, maintenance, and repairs
Experience with calculating nominal and effective tonnage and/or kW requirements, along with reading and knowing schematics
Superior customer service, teamwork and verbal/written communication skills
EPA 608 certification is preferred. If you do not already have the certification, you should be able to obtain it within 6-12 months of employment
High School diploma, Trade school certificate preferred
Experience in field service, maintenance and repair preferred
Valid driver's license with acceptable driving record. Must be at least 21 years old to operate company vehicle
Must be able to move, stand, stoop and bend freely
Must be able to lift up to 50 pounds at times
Field Technicians may be required to be clean shaven in order to enter worksites for EquipmentShare customers who have this requirement
This is a safety sensitive position and any offer of employment will be contingent on passing a 10 panel drug screen
Employment is contingent on passing a background check
Some roles require passing a drug test, depending on the job responsibilities

Abbott Laboratories

Alameda, CA 94501

Scale AI

San Francisco, CA 94103

RecruitMilitary Placement Services

San Francisco, CA

KPMG

San Francisco, CA 94112

A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science experience
Bachelor's degree from an accredited college/university
Experience utilizing analytics / software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
Deep technical understanding of data preparation approaches and machine learning algorithms
Knowledge / experience preforming data science from data discovery, cleaning, model selection, validation, to deployment
Experience coding artificial intelligence methods using object-oriented programming in software development processes (ability to restructure, refactor, and optimize code for efficiency)
Hands-on experience and knowledge in distributed computing architecture, massive-parallel processing big data platforms (Hadoop, MapReduce, HDFS, Spark, PySpark, Hive/Impala, H-Base / MongoDB / Casandra, and Teradata / Netezza / Redshift), mainstream cloud infrastructure (AWS, MS Azure, GCP, and their D&A; related microservices)
Experience with Web/RESTful service development, HTML5, JavaScript / Angular / React / Redux
Experience with command-line scripting, data structures, and algorithms; ability to work in Linux and/or cloud environments; ability to write production level code
Ability to travel as required to support firm engagements
Applicant must possess or be eligible for U.S. Government clearance