Part-Time ML Engineer | Flexible Hours, Visa Sponsorship

EventMakers Entertainment; Karachi Division; On-site; PKR 4,217,000 - 5,052,000; Part time

Benefits offered by this job

Flexible hours

Part-time salary 1500 USD/month

Accommodation support

Visa sponsorship

Hands-on ML projects

Job summary

EventMakers Entertainment in Karachi is seeking a part-time Machine Learning Engineer to develop, test, and implement ML models. You will work with Python or R to tackle real-world problems and collaborate with cross-functional teams.

The role emphasizes experimentation with datasets, feature engineering, and communicating results to stakeholders. Accommodation and visa sponsorship are offered, with flexible hours to suit a part-time arrangement.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong understanding of machine learning concepts such as supervised/unsupervised learning, regression/classification algorithms.
• Proficient in programming languages such as Python or R with experience in data manipulation libraries (e.g. Pandas, Numpy).
• Familiarity with machine learning libraries/frameworks (e.g. Scikit-Learn, Tensorflow).
• Experience working with large datasets and SQL databases.

Responsibilities

• Collaborate with cross-functional teams to identify business problems that can be solved using machine learning techniques.
• Develop and implement machine learning algorithms and models using programming languages such as Python or R.
• Conduct data exploration, pre-processing, and feature engineering on large datasets.
• Test and evaluate the performance of machine learning models using various metrics.
• Continuously monitor and improve the performance of existing models by incorporating new data or techniques.

Job description

EventMakers Entertainment in Karachi is seeking a part-time Machine Learning Engineer to develop, test, and implement ML models. You will work with Python or R to tackle real-world problems and collaborate with cross-functional teams.

The role emphasizes experimentation with datasets, feature engineering, and communicating results to stakeholders. Accommodation and visa sponsorship are offered, with flexible hours to suit a part-time arrangement.