Junior Machine Learning Engineer — Data-Driven ML Solutions (Karachi)

SteelAxis; Karachi Division; On-site; PKR 3,400,000 - 4,620,000; Full time

Benefits offered by this job

Visa sponsorship

Free airfare for relocation

Job summary

SteelAxis is seeking a highly skilled Machine Learning Engineer to join our team in Karachi, Pakistan. You will design, implement, and maintain ML algorithms and models to solve business problems.

The role requires building data pipelines, training models, and deploying solutions in collaboration with cross-functional teams. The ideal candidate has a strong foundation in ML concepts, programming proficiency, and hands-on experience with ML libraries.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science or related field.
• Strong understanding of ML concepts such as regression, classification, clustering, neural networks.
• Proficiency in programming languages such as Python, R, Java or C++.
• Experience with data manipulation tools such as Pandas or SQL.
• Familiarity with machine learning libraries like TensorFlow or Scikit-Learn.
• Excellent problem-solving skills and ability to think critically.
• Detail-oriented with strong analytical skills.
• Ability to work independently as well as in a team environment.

Responsibilities

• Develop and implement machine learning algorithms and models.
• Gather and analyze data from various sources to train and improve models.
• Collaborate with cross-functional teams to understand business needs and provide solutions using machine learning techniques.
• Monitor and evaluate model performance, making necessary adjustments to improve accuracy.
• Stay updated with the latest advancements in machine learning techniques and tools.

Skills

Python

R

Java

C++

Education

Bachelor's or Master's in CS/DS

Tools

Pandas

SQL

TensorFlow

Scikit-Learn

Job description

SteelAxis is seeking a highly skilled Machine Learning Engineer to join our team in Karachi, Pakistan. You will design, implement, and maintain ML algorithms and models to solve business problems.

The role requires building data pipelines, training models, and deploying solutions in collaboration with cross-functional teams. The ideal candidate has a strong foundation in ML concepts, programming proficiency, and hands-on experience with ML libraries.