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AI Engineer

Summary

Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.

AI Engineer


Engineering Johar Town Lahore Fulltime / Permanent 3+ years


The ideal candidate will have hands‑on experience in building AI/ML models, working with large datasets, and deploying scalable solutions using modern frameworks and cloud platforms. This role offers exposure to end‑to‑end AI/ML projects, including model development, optimization, and production deployment, in a fast-paced, technology‑driven environment.


Required Skills & Qualifications



  • Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.

  • 2-4 years of experience in AI engineering, machine learning, or data science roles.

  • Proficiency in Python (and optionally R) with hands‑on expertise in TensorFlow, PyTorch, or Scikit‑learn.

  • Hands‑on experience with AI models, including exposure to Large Language Models (LLMs) and applied machine learning use cases.

  • Strong command of data processing and analysis tools such as Pandas and NumPy, along with familiarity with big data technologies (e.g., Hadoop, Spark).

  • Experience working with cloud platforms such as AWS, Azure, or GCP for model deployment and scalability.

  • Sound understanding of MLOps practices and tools for model lifecycle management.

  • Strong knowledge of algorithms, data structures, and statistical methods.

  • Experience with containerization and orchestration tools such as Docker and Kubernetes, and exposure to micro‑services architecture.

  • Excellent problem‑solving abilities with strong collaboration and teamwork skills.

  • Ability to communicate effectively with both technical and non‑technical stakeholders.


Preferred / Nice To Have



  • Knowledge of deep learning, Natural Language Processing (NLP), or computer vision.

  • Familiarity with LLM prompt engineering and optimization techniques.

  • Proficiency in SQL and database management systems.

  • Experience working on end‑to‑end AI/ML projects, from problem definition to production deployment.


What We Offer



  • Competitive Salary: Market competitive salary with performance-based incentives.

  • Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.

  • Wellness Perks: Gym and refreshment allowances.

  • Team Building: Annual trips, bi‑annual dinners, and team events.

  • Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick & Annual Leaves).


See also