AI Engineer: Build & Deploy Intelligent ML Solutions

System Heuristics; Model Town Tehsil; On-site; PKR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Lunch allowance

Bonuses

Certifications support

Job summary

System Heuristics is seeking an AI Engineer to design, implement, and deploy machine learning models and AI-driven solutions. You will work with data scientists and engineers to integrate intelligent capabilities into production systems.

Responsibilities include training and deploying models, building data processing pipelines, optimizing performance and latency, and monitoring AI systems. The ideal candidate has a BSCS, 2+ years in AI/ML, and hands-on experience with Python, ML libraries, and

Qualifications

• Bachelor's degree in Computer Science (BSCS) required.
• 2+ years of AI/ML engineering or related experience.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with data processing tools (Pandas, NumPy).
• Strong understanding of machine learning algorithms and statistics.
• Experience with MLOps tools (MLflow, Kubeflow).
• Familiarity with cloud AI platforms (AWS SageMaker, Azure ML, GCP AI Platform).
• Knowledge of deep learning, NLP, or computer vision techniques.
• Hands-on experience with Docker and Kubernetes.
• Exposure to Agile/Scrum methodologies.

Responsibilities

• Design, train, and deploy ML models and AI algorithms.
• Develop and maintain data processing and training pipelines.
• Collaborate with data scientists on model prototyping and evaluation.
• Optimize model performance, scalability, and inference latency.
• Integrate AI solutions into backend services and applications.
• Monitor, maintain, and troubleshoot AI systems in production.

Skills

Python

ML libraries

Pandas

NumPy

Deep learning

NLP

Computer vision

Docker

Kubernetes

Agile/Scrum

MLOps

Education

BSCS

Tools

MLflow

Kubeflow

AWS SageMaker

Azure ML

GCP AI Platform

Job description

System Heuristics is seeking an AI Engineer to design, implement, and deploy machine learning models and AI-driven solutions. You will work with data scientists and engineers to integrate intelligent capabilities into production systems.

Responsibilities include training and deploying models, building data processing pipelines, optimizing performance and latency, and monitoring AI systems. The ideal candidate has a BSCS, 2+ years in AI/ML, and hands-on experience with Python, ML libraries, and