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Home Pakistan Machine Learning Software Engineer

Machine Learning Software Engineer

Full time at PakWheels.com in Pakistan
Posted on February 5, 2025

Job details

As a Machine Learning Engineer at PakWheels, you will be an integral part of a team focused on developing and deploying cutting-edge AI solutions to enhance our product offerings. This position offers the chance to work on creating models using advanced machine learning algorithms and techniques to address critical challenges in buying and selling of Used Cars in Pakistan. As a member of the R&D team, you will also be responsible for deploying these models while collaborating with cross-functional teams. Responsibilities:

  • Design and develop AI-driven solutions to solve complex problems, leveraging algorithms and machine learning techniques.
  • Build machine learning models utilizing both classical and deep learning methods.
  • Collaborate with cross-functional teams to design, document, and implement scalable solutions.
  • Write secure, maintainable, and efficient code that powers the platform.
  • Lead code reviews and contribute to software architecture decisions.
Qualifications:
  • A degree in Computer Science, Software Engineering, or a related field.
  • Exceptional problem-solving and analytical abilities.
  • Strong proficiency in Python programming.
  • Solid understanding of machine learning models and techniques.
  • Hands-on experience with deep learning models.
  • Passion for creating software that is extensible, performant, and easy to maintain.
  • Experience with time series problems is a plus.
At PakWheels, we take pride in fostering a dynamic and innovative workplace culture that values collaboration and growth. Since 2003, PakWheels.com has transformed the automobile industry in Pakistan, helping millions of Pakistanis buy, sell, and maintain their vehicles. By joining PakWheels, you'll be part of a mission to revolutionize the automobile landscape. Our environment thrives on creativity, teamwork, and forward-thinking ideas. #J-18808-Ljbffr

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