Machine Learning Engineer
Machine Learning Engineer (Part-time)
Profession: Machine Learning Engineer
City: Karachi, Pakistan
We are seeking a highly skilled Machine Learning Engineer to join our team on a part-time basis in Karachi, Pakistan. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to analyze large datasets and make predictions. You must have experience in working with various machine learning frameworks and programming languages such as Python or R. This position does not include accommodation, so candidates must be based in Karachi or willing to relocate at their own expense. A biometric passport is required for this role.
Key Responsibilities:
- Develop and implement machine learning algorithms and models
- Analyze large datasets and make predictions using machine learning techniques
- Collaborate with data scientists and engineers to improve existing models
- Perform data cleaning, preprocessing, and feature engineering
- Conduct experiments to test the accuracy of different models
- Stay updated with the latest advancements in machine learning
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Proven experience as a Machine Learning Engineer or similar role
- Strong knowledge of machine learning algorithms such as linear regression, decision trees, neural networks, etc.
- Proficiency in programming languages such as Python or R
- Experience with various machine learning frameworks (TensorFlow, PyTorch, etc.)
- Knowledge of data visualization tools (Tableau, Power BI)
- Excellent understanding of statistics and probability
- Ability to work independently and in a team environment
Salary:
The salary for this position is 1600$ per month.
We are committed to creating an inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.
If you meet the requirements for this position and are passionate about using machine learning techniques to solve real-world problems, we would love to hear from you. Please submit your resume and a cover letter explaining your qualifications and interest in this role.
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views: 38
valid through: 2026-08-12