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Machine Learning/Data Science Engineer Job in Lahore

Full time Hybrid @Arbisoft in Business Development , in Employment Firms , in Information Technology
  • 25 Canal Rd, Westwood Colony Lahore, Punjab , 54000
  • Post Date : August 31, 2023
  • Apply Before : October 18, 2023
  • Salary: Negotiable
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Job Detail

  • Job ID 19774
  • Experience 3 Years
  • Gender MaleFemaleTransgender
  • Industry Information Technology
  • Qualifications Bachelor’s Degree

Job Description

We are looking for a Machine Learning/Data Science Engineer to join our team. The ideal candidate will have a strong understanding of machine learning and data science principles, with experience in developing and deploying machine learning models. They will also have excellent problem-solving and analytical skills, with the ability to quickly prototype ideas and solve complex problems.

Responsibilities:

  • Understand business needs and translate them into machine learning problems.
  • Develop and deploy machine learning models that meet business objectives.
  • Evaluate and improve the performance of machine learning models.
  • Work with other engineers and scientists to integrate machine learning models into products and services.
  • Stay up-to-date on the latest machine learning and data science research.

Qualifications:

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 3+ years of experience in machine learning and data science.
  • Experience with machine learning frameworks, such as Scikit-learn, TensorFlow, or PyTorch.
  • Experience with data mining and statistical modeling techniques.
  • Experience with programming languages, such as Python, R, or Java.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.

Good to have:

  • Experience with REST API development.
  • Experience with NoSQL databases.
  • Experience with RDBMS databases.
  • Experience with probabilistic models.
  • Experience with optimization techniques.
  • Experience with forecasting techniques.

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