Remote ML Engineer: Build Models that Drive Growth

Oasis Wellness Oman

Punjab

On-site

PKR 3,409,053 - 4,648,708

Full time

14 days+

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Job summary

Oasis Wellness Oman in Faisalabad is seeking a Machine Learning Engineer to design and develop ML algorithms that solve business problems. You will collaborate with data scientists, software engineers and product managers to deploy scalable models.

The ideal candidate has a CS or Math degree, 2+ years of experience, strong Python/R/Java skills, and solid data preprocessing and visualization abilities. The team offers a competitive salary and flexible remote options to fit Pakistan working hours.

Qualifications

  • Bachelor's or Master's degree in CS, Math, or related field.
  • Minimum 2 years of experience as ML Engineer or Data Scientist.
  • Strong programming skills in Python, R or Java; data preprocessing and visualization.

Responsibilities

  • Develop and implement machine learning algorithms and models
  • Analyze large datasets and extract meaningful insights
  • Collaborate with data scientists, software engineers and product managers to identify business problems that can be solved through machine learning
  • Design experiments to test the effectiveness of different algorithms and models
  • Continuously research new techniques and tools in the field of machine learning
  • Communicate findings and results to non-technical stakeholders

Skills

Python
R
Java
Data manipulation
Preprocessing
Visualization
ML concepts

Education

Bachelor's or Master's degree in Computer Science, Mathematics or related field

Job description

Oasis Wellness Oman in Faisalabad is seeking a Machine Learning Engineer to design and develop ML algorithms that solve business problems. You will collaborate with data scientists, software engineers and product managers to deploy scalable models.

The ideal candidate has a CS or Math degree, 2+ years of experience, strong Python/R/Java skills, and solid data preprocessing and visualization abilities. The team offers a competitive salary and flexible remote options to fit Pakistan working hours.

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