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Open nowFirst seen 6 days ago

Associate AI Engineer – LLM & Computer Vision (Onsite, Karachi, PKR Salary)

HR POD - Hiring Talent Globally47 open roles

Where
Karachi, Pakistan
Work mode
On site
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Your applicationOpen nowAssociate AI Engineer – LLM & Computer Vision (Onsite, Karachi, PKR Salary)HR POD - Hiring Talent Globally · Karachi, Pakistan

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on HR POD - Hiring Talent Globally's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. HR POD - Hiring Talent Globally postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 6 days ago

HR POD - Hiring Talent Globally median: 1 days open

The posting

Requirements:

  • Fresh to 2 years of AI/ML experience, including academic or personal projects, with strong Python fundamentals.
  • Familiarity with PyTorch, TensorFlow, or Scikit-learn, along with a basic understanding of LLMs, prompt engineering, and evaluation.
  • Exposure to computer vision fundamentals, data preprocessing, and basic model metrics.
  • Exposure to Hugging Face, LangChain, OpenAI APIs, or similar tools, with familiarity with RAG and vector databases.
  • Exposure to cloud AI environments.
  • Academic or portfolio projects involving LLMs, computer vision, or multimodal AI.
  • Strong learning mindset and willingness to experiment under guidance.
  • Structured and clean implementation approach, with curiosity, documentation discipline, and the ability to collaborate cross-functionally.

Responsibilities:

  • Assist in building LLM-based applications such as chatbots, RAG systems, and AI assistants.
  • Support data preprocessing, labeling, and model evaluation workflows.
  • Implement basic inference pipelines and integrate AI APIs.
  • Assist with prompt engineering, experimentation, and model output evaluation.
  • Work with embeddings, vector databases, and retrieval workflows.
  • Support computer vision experiments and image or video processing tasks.
  • Document experiments, datasets, results, and implementation decisions.
  • Collaborate with software engineering, product, and data teams.
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