Senior AI Engineer

2 weeks ago

Islamabad, Islamabad, Pakistan Urban Ridge Supplies Full time 200,000 - 400,000

Job Summary:

We are seeking a skilled and innovative AI Engineer to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.

Responsibilities:

LLM Development & Fine-Tuning

  • Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.
  • Implement advanced training strategies including LoRA, QLoRA, PEFT, and parameter-efficient adaptation methods.
  • Manage dataset preprocessing, curation, augmentation, and experiment tracking.
  • Optimize models for quality, latency, and memory efficiency across training and inference.

GPU-Based Training & Optimization

  • Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).
  • Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).
  • Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.

Model Serving & Infrastructure

  • Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).
  • Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.
  • Build end-to-end pipelines for continuous training, evaluation, and automated deployment.

Research, Experimentation & Innovation

  • Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.
  • Run experiments, benchmark models, and propose architectural or training improvements.
  • Prototype new capabilities and develop internal best practices for LLM workflows.

Collaboration & Leadership

  • Work closely with product, engineering, and data teams to translate requirements into model behaviors.
  • Mentor junior engineers and contribute to technical design reviews and architecture decisions.
  • Communicate model performance, limitations, and trade-offs clearly to stakeholders

Requirements:

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or a related field.
  • Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).
  • Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
  • Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.
  • Strong problem-solving skills and ability to work on complex, data-driven problems.
  • Ability to work collaboratively in a team-oriented environment.

Preferred Qualifications:

  • Experience deploying AI models in production environments.
  • Knowledge of LLMs (Large Language Models) and prompt engineering.
  • Background in data engineering or backend development.
  • Research experience or publications in AI/ML fields.

You can share your cv on whtsapp as well

Job Type: Full-time

Pay: Rs200, Rs400,000.00 per month

Work Location: In person

Job Id: ea8t3FYz/U775wV5wBgpvRiDnTyIN+T9Yh7/wdngKYv5hVYEl5EIwaqM9FYr/x3QQ3jmrIzrb24yqnhtNWef086rxnupOxHKQql1dMgDmCONrRjUMTQzwA==

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