Machine Learning Engineer (Faisalabad, Pakistan)

Work standard

Punjab

On-site

PKR 1,800,000 - 2,400,000

Full time

3 days ago
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Benefits offered by this job

Visa sponsorship

Job summary

Work standard in Faisalabad, Pakistan, seeks a Machine Learning Engineer to design, develop and deploy ML solutions. You will work closely with data scientists and software engineers to move models into production.

The ideal candidate has a strong background in statistics and proficiency in Python or R, with experience in regression, classification and clustering. This is a contract role with visa sponsorship available for the right candidate.

Qualifications

  • Strong background in statistics and data analysis.
  • Proficiency in Python or R for ML development.
  • Experience with deploying ML models to production environments.
  • Ability to collaborate with data scientists and software engineers.

Responsibilities

  • Design, develop and implement machine learning solutions to solve business problems.
  • Collaborate with data scientists and software engineers to build and deploy models into production.

Skills

Statistics
Programming (Python/R)
Model deployment

Tools

Python
R

Job description

Machine Learning Engineer vacancy in Faisalabad Pakistan

Machine Learning Engineer (Faisalabad, Pakistan) We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team in Faisalabad, Pakistan. As a Machine Learning Engineer, you will be responsible for designing, developing and implementing machine learning solutions to solve complex business problems. You will work closely with data scientists and software engineers to build and deploy models into production. The ideal candidate will have a strong background in statistics, programming languages such as Python or R, and experience with machine learning techniques like regression, classification, and clustering. This is a contract job with visa sponsorship available for the right candidate. Don't miss this opportunity to be part of an innovative team tackling cutting-edge challenges in the field of machine learning.

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