AI Systems Architect

3 weeks ago

Lahore, Punjab, Pakistan HR POD - Hiring Talent Globally Full time

Lead AI Engineer Role

At HR POD - Hiring Talent Globally, we are seeking a skilled Senior AI Engineer to lead our AI team and drive the development of innovative AI solutions.

Key Responsibilities:

  • Take the lead in client-facing interactions, providing expert advice and training to the AI team.
  • Design, develop, and deploy AI-based systems and algorithms that solve complex problems and improve business processes.
  • Collaborate with cross-functional teams to identify business opportunities and develop solutions leveraging AI and machine learning technologies.
  • Develop and implement data collection, preprocessing, and analysis pipelines to support AI-based systems and algorithms.
  • Conduct experiments and perform statistical analysis to evaluate the performance of AI-based systems and algorithms.
  • Implement and maintain AI-based solutions and systems in production environments.
  • Stay up-to-date with the latest advancements in AI and machine learning technologies and identify opportunities to incorporate them into our solutions.

Requirements:

  • Minimum 4 years of experience in AI engineering.
  • Proven experience in client-facing roles and team management.
  • Strong understanding of functional design principles, object-oriented programming principles, and basic algorithms.
  • Ability to work on dynamic, research-oriented teams with 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.
  • Excellent communication and collaboration skills for explaining technical concepts to non-technical 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 inclusive technology solutions.

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