AI Engineer

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

We're looking for an AI Engineer who excels at designing, developing, and deploying machine learning models and AI-driven solutions.

About us

System Heuristics is a fast-growing IT solutions provider focused on developing innovative digital experiences. Our mission is to bridge the gap between technology and real-world challenges. We believe in collaboration, creativity, and continuous improvement and strive to foster a work environment that encourages innovation and supports professional growth.

About the role

The AI Engineer will design, implement, and maintain machine learning models, AI algorithms, and data pipelines, collaborating with data scientists and engineers to integrate intelligent solutions into production systems.

Key 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

Qualifications required

• Bachelor's degree in Computer Science (BSCS)
• 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

Personal attributes

An analytical thinker who is passionate about AI, enjoys solving complex problems, and communicates effectively with cross-functional teams.

What we offer

• Onsite perks and lunch allowance
• Performance-based annual bonuses
• Support for certifications and professional development

System Heuristics is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.