AI Engineer

leading-edge; Karachi Division; On-site; PKR 2,000,000 - 4,000,000; Full time

Job summary

leading-edge is seeking an AI Engineer to develop ML models and integrate AI into products across business domains. You will collaborate with data scientists and software engineers to deploy robust AI solutions and improve existing applications.

The role requires a Bachelor\'s in CS/DS/ML, hands-on experience with TensorFlow or PyTorch, NLP/LLMs, computer vision, and strong math. You will analyze data, engineer features, and communicate results to stakeholders while optimizing for performance in

Qualifications

• Bachelor's degree in Computer Science, Data Science or ML/AI preferred.
• Proven track record with AI projects and ML models.
• Proficiency in Python, R or Java and ML frameworks like TensorFlow or PyTorch.
• Familiarity with data preprocessing, feature engineering and model evaluation.
• Strong understanding of ML algorithms (supervised/unsupervised/reinforcement).
• Hands-on experience with NLP, large language models, computer vision, or related AI subfields.
• Solid mathematics (linear algebra, calculus, statistics) and version control with Git.

Responsibilities

• Develop and deploy ML models and AI algorithms to solve business problems.
• Collaborate with data scientists and software engineers to integrate AI into products.
• Perform data preprocessing, feature engineering, and model evaluation.
• Stay updated on AI research and apply relevant techniques.
• Optimize models for performance and scalability using cloud resources.
• Participate in code reviews and cross-functional problem solving.
• Troubleshoot AI issues to ensure reliable AI-driven apps.

Skills

Python

R

Java

NLP

Computer Vision

Feature Engineering

Model Evaluation

Git

Education

Bachelor's Degree in CS/DS/ML

Tools

TensorFlow

PyTorch

Job description

Responsibilities

• Develop and implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications.
• Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing products and services.
• Conduct data analysis, preprocessing, and feature engineering to extract valuable insights from large datasets, improving model performance.
• Stay updated on the latest AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.
• Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks.
• Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes.
• Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI-driven applications.

Required Skills & Experience

• Bachelor's Degree in Computer Science, Bachelors in Data Science or ML/AI is preferred.
• Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects.
• Proficiency in programming languages commonly used in AI, such as Python, R, or Java, and experience with ML frameworks like TensorFlow or PyTorch.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects.
• Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
• Hands-on experience with Natural Language Processing (NLP), Large Language Models, computer vision, or other AI subfields.
• Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
• Experience with version control systems like Git, enabling effective collaboration and code management.
• Strong analytical and problem-solving skills, crucial for algorithm development and data analysis.
• Exceptional communication skills, enabling effective collaboration with both technical teams and business stakeholders to translate AI capabilities into business value.