AI/ML Engineer

Fils; Karachi Division; Presencial; PKR 1.200.000 - 2.500.000; Jornada completa

Descripción de la vacante

Fils in Karachi is seeking an AI/ML Engineer to design, develop, and deploy practical machine learning solutions that support business operations and data-driven decision making.

You will work with stakeholders to understand requirements, prepare reliable datasets, build models, and drive successful solutions into production. A strong foundation in software development and data science is essential.

Formación

• Strong Python programming and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Working knowledge of supervised and unsupervised learning, feature engineering, model validation, and performance metrics.
• Experience using SQL and data-processing tools to prepare, query, and analyze datasets.

Responsabilidades

• Design, develop, train, and evaluate ML models for operational and business use cases.
• Collect, clean, transform, and analyze data from relevant sources.
• Build reproducible data science workflows and maintain clear technical documentation.

Conocimientos

Python

ML libraries

SQL

Statistical reasoning

Educación

Bachelor's degree in CS/AI/Data Science

Descripción del empleo

Fils is seeking an AI/ML Engineer to join its technology team in Karachi. The role will focus on developing practical machine learning solutions that support business operations and improve data-driven decision-making. You will work with stakeholders to understand requirements, prepare reliable datasets, build and evaluate models, and help move successful solutions into production.

Responsibilities

• Design, develop, train, and evaluate machine learning models for operational and business use cases.
• Collect, clean, transform, and analyze structured and unstructured data from relevant sources.
• Build reproducible data science workflows and maintain clear technical documentation.
• Collaborate with software engineers and business teams to integrate models into applications and services.
• Monitor model performance, data quality, reliability, and potential model drift after deployment.
• Research appropriate algorithms, tools, and emerging AI techniques while applying sound engineering practices.

The successful candidate will combine strong analytical thinking with practical software development skills and a commitment to delivering maintainable, measurable solutions.

• Strong Python programming and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Working knowledge of supervised and unsupervised learning, feature engineering, model validation, and performance metrics.
• Experience using SQL and data-processing tools to prepare, query, and analyze datasets.
• Understanding of statistics, probability, data structures, and software development fundamentals.
• Ability to build clear experimentation pipelines, document results, and communicate technical findings.
• Familiarity with REST APIs, Git, testing, containerization, cloud platforms, or MLOps practices is advantageous.
• Strong problem-solving, collaboration, ownership, and written communication skills.

Education

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Statistics, or a related technical field. Equivalent practical experience with a strong portfolio of machine learning projects may also be considered.

Worked here? Your insights help others make better career decisions.