AI Innovations Leader

2 days ago

Lahore, Punjab, Pakistan beBeeGenaileader Full time 20,000,000 - 25,000,000
Job Description

We are seeking a highly experienced and innovative GenAI Leader to join our growing team. This role is ideal for a senior technologist with a deep understanding of Generative AI, LLMs, and other advanced AI/ML technologies.

The ideal candidate will bring strong technical leadership, hands-on expertise, and a passion for delivering transformative AI-driven solutions.

Required Skills and Qualifications
  • Minimum 12 years of professional experience in software engineering, with 8+ years specifically in AI/ML leadership.
  • Hands-on expertise in Generative AI, including:
    • Agentic AI, Multi-Agent Systems, Agentic RAG
    • Langraph, Ontology-based Knowledge Graphs
    • LLM fine-tuning (e.g., GPT, BERT) and Prompt Engineering (e.g., Chain-of-Thought)
  • Strong experience with:
    • Vector Databases, LangChain, Vector Embeddings
    • Foundation model training, Human-in-the-loop feedback
    • Multi-modal AI, NLP, Text Classification, Computer Vision
  • Proficient in Python, Jupyter Notebooks, and libraries like NumPy, pandas, TensorFlow, PyTorch, Hugging Face
  • Practical experience with AWS ML Services, including:
    • SageMaker, Bedrock, Lambda, Cognito, CloudWatch, API Gateway, RDS (PostgreSQL)
  • Knowledge of Vibe Coding techniques (AI-generated code from natural language prompts)
  • Proven track record of delivering 5+ successful AI/ML projects, particularly in foundation models and multi-modal systems
  • Strong leadership and mentoring experience in Agile environments
  • Excellent communication skills to engage with technical and business stakeholders
  • AWS Machine Learning Certification is a plus
  • Willingness to relocate to Dubai if required by project needs
  • Passion for staying current with the latest AI/ML and GenAI trends and incorporating innovations into production-ready systems
Benefits
  • Lead the development of cutting-edge GenAI and ML solutions across diverse use cases
  • Architect and implement scalable AI pipelines and frameworks using state-of-the-art technologies
  • Mentor and manage a high-performing team of AI/ML engineers
  • Drive prompt engineering strategies and LLM applications across enterprise-grade systems
  • Oversee the integration of AI components into cloud-native environments using AWS
  • Collaborate with cross-functional teams to align AI initiatives with business goals
  • Evaluate new tools, frameworks, and research to keep on the forefront of AI innovation
Others

Relocation may be required based on project needs.

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