Senior AI Architect

3 days ago


Lahore, Punjab, Pakistan HR POD - Hiring Talent Globally Full time
AI Engineer Job Overview

We are seeking a highly skilled Senior AI Engineer to lead our team and drive the development of cutting-edge AI-based systems and algorithms.

Job Description

This is a senior role that requires extensive experience in designing, developing, and deploying AI-based systems and algorithms. The successful candidate will be responsible for:

  • Leading cross-functional teams to identify business opportunities and develop solutions that leverage AI and machine learning technologies.
  • Designing and developing data collection, preprocessing, and analysis pipelines to support AI-based systems and algorithms.
  • Implementing and maintaining AI-based solutions and systems in production environments.
  • Staying up-to-date with the latest advancements in AI and machine learning technologies and identifying opportunities to incorporate them into our solutions.
Required Skills and Qualifications

To be successful in this role, you will need:

  • A minimum of 4 years of experience in AI engineering.
  • Experience with client-facing and team management.
  • Understanding of functional design principles, object-oriented programming principles, basic algorithms.
  • Ability to work on a dynamic, research-oriented team that has concurrent projects.
  • Advanced experience in pattern recognition and predictive modeling.
  • Expertise in Large Language Models (LLMs) and Generative AI solutions.
  • Experience with Retrieval Augmented Generation (RAG) architectures and implementations.
  • Hands-on experience with state-of-the-art models from OpenAI, HuggingFace, and other AI platforms.
  • Strong proficiency in PyTorch ecosystem and model development.
  • Proficiency in prompt engineering and fine-tuning foundation models.
  • Experience with modern Computer Vision architectures (e.g., Vision Transformers, YOLO).
  • Extensive knowledge of AI frameworks, libraries, data structures, and model deployment architecture.
  • Expertise in REST API development.
  • Strong MLOps experience including model versioning, monitoring, and deployment.
  • Proficiency with Cloud Services (AWS, Google Cloud, Azure).
  • Experience with Reinforcement Learning and its applications.
  • Great communication and collaboration skills especially for explaining technical concepts to nontechnical business leaders.
  • Strong Python programming skills.
  • Programming experience in Java & C++.
  • Experience with distributed computing frameworks (Apache Spark, Dask).
  • Knowledge of modern attention mechanisms and transformer variants.
  • Experience with few-shot learning and advanced prompt engineering.
  • Familiarity with vector databases and embedding systems.
  • Experience with model optimization using TensorRT.
  • Experience with RLHF (Reinforcement Learning from Human Feedback).
  • Knowledge of model quantization and optimization techniques.
  • Proven experience in applying AI to practical and all-inclusive technology solutions.
Benefits

We offer a competitive salary of $180,000 per year, along with a comprehensive benefits package, including health insurance, retirement plan, and paid time off.

Others

The salary may vary based on location, but we can assure you that it will be around $180,000 per year.


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