AI Engineer: Build Cutting-Edge AI Solutions at Scale

Aiotac; Islamabad; On-site; PKR 2,009,000 - 3,906,000; Full time

Benefits offered by this job

Competitive salary

Professional growth opportunities

Collaborative environment

Job summary

Aiotac is seeking an AI Engineer to design, develop, and deploy AI solutions across products and services. You will collaborate with data scientists, software engineers, and product managers to build intelligent systems that solve complex problems.

The role encompasses model development, data preparation, and deployment at scale, with opportunities to explore NLP, computer vision, and MLOps in a fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• Strong Python programming with TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of ML, DL, and statistical modeling.

Responsibilities

• AI model development: Design, train, and optimize machine learning and deep learning models.
• Data preprocessing: Clean, transform, and prepare large datasets for training and inference.
• Algorithm implementation: Apply state-of-the-art techniques in NLP, computer vision, or predictive analytics.
• Deployment and scaling: Integrate models into production systems ensuring scalability and performance.
• Collaboration: Work closely with cross-functional teams to align AI solutions with business goals.
• Research and innovation: Stay updated on emerging AI technologies and contribute to continuous improvement.

Skills

Python

ML/DL modeling

Data preprocessing

NLP/Computer Vision

CI/CD / MLOps

Problem-solving

Communication

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

Aiotac is seeking an AI Engineer to design, develop, and deploy AI solutions across products and services. You will collaborate with data scientists, software engineers, and product managers to build intelligent systems that solve complex problems.

The role encompasses model development, data preparation, and deployment at scale, with opportunities to explore NLP, computer vision, and MLOps in a fast-paced environment.