ML Engineer - Scalable Models, Production Pipelines & APIs

Aimlroles; Peshawar City Tehsil; Vor Ort; PKR 1.800.000 - 2.400.000; Vollzeit

Zusammenfassung

Aimlroles seeks a Machine Learning Engineer to design, develop, and deploy scalable ML models addressing real-world business problems. Collaborate with data scientists, software engineers, and product teams to build intelligent, data-driven systems.

The role involves building end-to-end ML pipelines, optimizing performance, and integrating models into production. An emphasis on staying current with ML techniques and maintaining robust ML workflows.

Qualifikationen

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Strong understanding of machine learning algorithms (supervised, unsupervised, deep learning).
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with data processing tools (Pandas, NumPy).
• Knowledge of SQL and data storage systems.
• Understanding of model evaluation metrics and validation techniques.

Aufgaben

• Design, build, and deploy machine learning models and pipelines.
• Analyze large datasets to extract insights and improve model performance.
• Develop and maintain data preprocessing, feature engineering, and model evaluation workflows.
• Optimize models for performance, scalability, and reliability.
• Integrate ML models into production systems and APIs.
• Monitor model performance and retrain models as needed.
• Stay up to date with the latest machine learning techniques and tools.

Kenntnisse

QA automation

CI/CD integration

Mentoring

Machine learning knowledge

Python

ML libraries

Ausbildung

Bachelor's degree in CS/DS/Engineering

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

SQL

Jobbeschreibung

Aimlroles seeks a Machine Learning Engineer to design, develop, and deploy scalable ML models addressing real-world business problems. Collaborate with data scientists, software engineers, and product teams to build intelligent, data-driven systems.

The role involves building end-to-end ML pipelines, optimizing performance, and integrating models into production. An emphasis on staying current with ML techniques and maintaining robust ML workflows.