AI Engineer - Associate Program

Product Development Team
Date Announced Jun 16,2026
Last Date Jun 30,2026

Department: Product Development
Location: Islamabad, Pakistan (On-site)
Working Hours: 9:00 AM - 6:00 PM
Employment Type: Full-time (Associate Program with Permanent Placement Opportunity)
Experience Level: 0-1 year (Fresh Graduates to Junior Level)

 


Role Overview

Tech Avenue is seeking enthusiastic and analytical minds for the role of Management Trainee Officer (MTO) in AI Engineering. This is an exceptional opportunity for fresh graduates or junior AI engineers(0-1) years’ experience) with a passion for machine learning, data science, and AI development, eager to learn and contribute to real-world AI projects.

As an MTO in AI Engineering, you'll work alongside experienced AI engineers on cutting-edge projects, contribute to AI-powered solutions, and develop your skills in machine learning, deep learning, and data science. High performers will be offered permanent positions as part of our core AI/ML team with competitive salary packages and performance-based increments.


Key Responsibilities

  • Support AI engineers in data collection, cleaning, preprocessing, and model training
  • Assist in developing and deploying machine learning and AI-based solutions
  • Work with tools and libraries like TensorFlow, PyTorch, and Scikit-learn
  • Conduct exploratory data analysis (EDA) and build predictive models
  • Collaborate with software developers to integrate AI modules into applications
  • Research emerging trends in AI/ML and contribute to AI model improvement
  • Participate in model evaluation, hyperparameter tuning, and performance optimization
  • Document AI/ML workflows, experiments, and results
  • Contribute to data pipeline development and feature engineering
  • Assist in deployment of AI models to production environments

Required Skills & Qualifications

Education:

  • Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Software Engineering, or related field

Experience:

  • 0-1 year of experience (Fresh graduates with strong academic projects, internships, or AI/ML coursework are encouraged to apply)
  • Prior internship or academic project experience in AI/ML is preferred
  • Participation in hackathons, or AI research projects is a plus

Technical Skills:

  • Understanding of Python programming and machine learning algorithms
  • Familiarity with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras)
  • Good grasp of data handling and visualization using Pandas, NumPy, Matplotlib, Seaborn
  • Basic knowledge of deep learning concepts (neural networks, CNNs, RNNs, LSTMs)
  • Understanding of supervised and unsupervised learning techniques
  • Familiarity with Jupyter Notebook and data science workflows
  • Basic understanding of statistics, linear algebra, and calculus
  • Experience with model evaluation metrics and cross-validation techniques
  • Knowledge of Git for version control is a plus

Soft Skills:

  • Eagerness to learn and stay updated with the latest AI/ML developments
  • Strong analytical thinking and attention to detail
  • Excellent problem-solving abilities
  • Self-motivated with a proactive approach to learning
  • Ability to work effectively in a fast-paced, collaborative environment

What We Offer

  • Direct pathway to permanent employment: High-performing MTOs will be absorbed into the core AI/ML team as full-time AI engineers
  • Mentorship and skill development through live AI/ML projects with experienced engineers
  • Exposure to AI-powered enterprise-level solutions and real-world machine learning applications
  • Fast-paced, dynamic work environment in a rapidly growing company working on cutting-edge AI projects
  • Professional development opportunities including AI/ML training, workshops, and conferences
  • Opportunity to work on diverse AI projects across computer vision, NLP, recommendation systems, and more
  • Career growth and clear advancement path within the AI/ML domain

Apply Now!

Please Upload a PDF File

Applied Successfully

Failed to apply