Machine Learning Engineer - Karachi, Pakistan

ConFlip; Karachi Division; On-site; PKR 3,093,000 - 3,705,000; Full time

Job summary

ConFlip in Karachi, Pakistan is seeking a Machine Learning Engineer to develop and implement ML algorithms and models addressing business problems. You will work closely with data scientists and software engineers to design, build, test, and deploy ML solutions.

Ideal candidates have a strong background in mathematics, statistics and computer science and are proficient in Python or R. Open to students with relevant experience and a passion for ML, with competitive compensation.

Qualifications

• Strong background in mathematics, statistics and computer science.
• Experience with Python or R.

Responsibilities

• Develop and implement machine learning algorithms and models to solve business problems.
• Collaborate with data scientists and software engineers to design, build, test and deploy ML solutions.
• Contribute to production-ready ML systems and infrastructure.

Skills

Mathematics

Statistics

Computer Science

Tools

Python

R

Job description

Machine Learning Engineer vacancy in Karachi Pakistan

Machine Learning Engineer - Karachi, Pakistan We are seeking a highly skilled Machine Learning Engineer to join our team in Karachi. In this role, you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with our data scientists and software engineers to design, build, test, and deploy machine learning solutions. The ideal candidate should have a strong background in mathematics, statistics, and computer science, as well as experience with programming languages such as Python or R. As a Machine Learning Engineer, you will have the opportunity to work on cutting‑edge technologies and contribute to the development of innovative products. This position is open to students with relevant experience and a passion for machine learning. Join us in revolutionizing the industry with your skills and expertise! Compensation for this role is competitive at 1100$ per month.