Machine Learning Engineer

EuroTech

Karachi Division

On-site

PKR 3,106,551 - 3,721,034

Full time

14 days+

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Benefits offered by this job

Accommodation provided

Job summary

EuroTech is currently seeking a Machine Learning Engineer to join their team in Karachi. This role involves developing, testing, and deploying machine learning models and algorithms with a focus on coding in Python or R. The ideal candidate should have experience in using machine learning frameworks like TensorFlow or PyTorch.

The position offers a competitive salary of $1100 per month along with accommodation. Given the urgent need for this role, candidates with the relevant experience are encouraged to apply promptly.

Qualifications

  • Experience in machine learning model development and deployment.
  • Strong programming skills in Python or R.
  • Familiarity with TensorFlow or PyTorch.

Responsibilities

  • Developing, testing, and deploying machine learning models and algorithms.
  • Writing and maintaining code primarily in Python or R.
  • Using machine learning frameworks such as TensorFlow or PyTorch.

Skills

Machine learning model development
Programming in Python
Programming in R
Using TensorFlow
Using PyTorch
Data visualization

Job description

We are currently hiring for a Machine Learning Engineer to join our team in Karachi on a contract basis.

Responsibilities
  • Developing, testing, and deploying machine learning models and algorithms.
  • Writing and maintaining code primarily in Python or R.
  • Using machine learning frameworks such as TensorFlow or PyTorch.
  • Utilizing data visualization tools and techniques.
Qualifications
  • Experience in machine learning model development and deployment.
  • Strong programming skills in Python or R.
  • Familiarity with TensorFlow or PyTorch.
  • Knowledge of data visualization methods.
Compensation & Benefits

Salary: $1100 per month. Accommodation will be provided.

This is an urgent job opening so candidates with relevant experience are encouraged to apply as soon as possible.

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