Machine Learning

Company:  Automation Technologies LLC
Location: El Monte
Closing Date: 02/11/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.

Job Overview

Job ID: J36993

Specialized Area: Machine Learning

Location: To Be Discussed Later

Duration: 8 Months

Domain Exposure: Pharmaceuticals, Manufacturing, Retail, Government, Telecom

Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Minimum Requirements

  • 5+ years' practical experience with business intelligence analysis, ETL, data processing, data programming, and data analytics
  • 2+ years hands-on experience in Machine Learning or advanced analytics
  • MS in Computer Science / Statistics or equivalent combination of skills, experience, and education
  • Proven experience working on multiple banking projects involving programming and building predictive models using R or Python
  • Experience building and deploying machine learning algorithms such as Random Forest, Gradient Boosting, and Neural Networks into production
  • Background in machine learning frameworks such as TensorFlow or Keras
  • Creative problem solver who thrives when presented with a challenge
  • Excellent pattern recognition and predictive modeling skills
  • Excellent communication and documentation skills
  • Excellent attention to detail
  • Comfortable in both a leadership and team-player role
  • Able to multitask, prioritize, and manage time effectively
  • Understanding of Dimensional Modeling concepts
  • Excellent communication, interpersonal, and organizational skills

AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.

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