Qureos

FIND_THE_RIGHTJOB.

Python Developer (Remote Pakistan)

Islamabad, Pakistan

About the Role:

We are looking for a skilled Python Developer with 2-3 years of professional experience, ideally with a strong background in Machine Learning. The role requires developing and maintaining scalable applications, working on data-driven solutions, and collaborating with cross-functional teams to deliver high-quality results.

Location: Remote (Based in Pakistan)
Experience: 23 Years
Employment Type: Full-Time

Key Responsibilities:

  • Develop, test, and maintain Python applications and scripts.

  • Design and implement Machine Learning models and integrate them into applications.

  • Work with data (cleaning, preprocessing, analysis) to support ML initiatives.

  • Optimize code for performance, scalability, and reliability.

  • Collaborate with team members to understand requirements and deliver solutions.

  • Debug, troubleshoot, and resolve application issues.

  • Write clean, reusable, and efficient code following best practices.

Requirements:

  • Bachelors degree in Computer Science, Software Engineering, or a related field.

  • 2-3 years of professional Python development experience.

  • Hands-on experience with Machine Learning frameworks (TensorFlow, PyTorch, or Scikit-learn).

  • Strong knowledge of data structures, algorithms, and object-oriented programming.

  • Familiarity with REST APIs, Git, and version control systems.

  • Experience with data manipulation libraries (NumPy, Pandas, etc.).

  • Basic understanding of cloud platforms (AWS, GCP, or Azure) is a plus.

  • Strong problem-solving and analytical skills.

  • Ability to work independently in a remote setup and deliver within deadlines.

Preferred Skills (Nice to Have):

  • Experience with Natural Language Processing (NLP) or Computer Vision.

  • Exposure to containerization tools (Docker, Kubernetes).

  • Familiarity with Agile/Scrum methodologies.

What We Offer:

  • Competitive salary based on experience.

  • Flexible remote working environment.

  • Opportunities to work on exciting Machine Learning projects.

  • Career growth and professional development opportunities.

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