Part-Time ML Engineer - Flexible Schedule & Growth

SafeHarbor Logistics; Karachi Division; On-site; PKR 3,685,000 - 4,985,000; Part time

Benefits offered by this job

Free visa sponsorship

Complimentary travel ticket

Job summary

SafeHarbor Logistics in Karachi, Pakistan, seeks a part-time Machine Learning Engineer to develop and implement ML models. You will analyze large datasets, collaborate with teammates, and stay abreast of new ML techniques while communicating results to stakeholders.

The ideal candidate holds a Bachelor's degree in CS/Engineering, has strong ML knowledge, and is proficient in Python and R. Flexible part-time schedule with visa sponsorship and travel support available.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Strong understanding of machine learning concepts and techniques.
• Proficient in Python and R.
• Experience with data analysis and visualization tools.
• Ability to work independently and collaboratively with a team.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Develop and implement machine learning algorithms and models.
• Analyze large datasets to identify patterns or trends using various tools and techniques.
• Collaborate with other team members to improve existing models and algorithms.
• Stay updated with the latest developments in the field of machine learning and incorporate new techniques into our projects.
• Communicate findings and results effectively to both technical and non-technical stakeholders.

Skills

Python programming

R programming

Machine learning concepts

Data analysis

Team collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Data analysis tools

Job description

SafeHarbor Logistics in Karachi, Pakistan, seeks a part-time Machine Learning Engineer to develop and implement ML models. You will analyze large datasets, collaborate with teammates, and stay abreast of new ML techniques while communicating results to stakeholders.

The ideal candidate holds a Bachelor's degree in CS/Engineering, has strong ML knowledge, and is proficient in Python and R. Flexible part-time schedule with visa sponsorship and travel support available.