Sr. AI Engineer
2 weeks ago
Location: Lahore, Pakistan (On-site | Mon–Fri, 9 AM – 6 PM)
Are you a passionate AI innovator ready to shape the future of intelligent systems?
Join our Lahore-based team as a Machine Learning Engineer (Generative AI & LLMs) and work at the forefront of cutting-edge AI research and deployment.
What We Offer
- Competitive compensation
- Perks and benefits
- Access to
in-house swimming pool and gym - Opportunities for professional growth and research collaboration
Role and Responsibilities
- Design, build, and deploy advanced AI/ML models, with a focus on LLMs for NLP tasks.
- Develop and optimize RAG pipelines for knowledge-intensive applications.
- Explore and experiment with AGI-inspired architectures to push the boundaries of long-term AI capabilities.
- Analyze large-scale datasets to uncover insights, predictions, and automation opportunities.
- Collaborate with product and engineering teams to integrate AI solutions into scalable systems.
- Monitor, evaluate, and improve models for accuracy, fairness, and efficiency.
- Stay ahead of the curve by keeping up with cutting-edge research in LLMs, generative AI, and AGI.
Qualifications
- Bachelor's/Master's in Computer Science, AI, Data Science, or a related field (PhD preferred for research-heavy roles).
- Solid background in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
- Hands-on experience with LLMs such as GPT, LLaMA, Falcon, or Mistral.
- Familiarity with RAG methods, vector databases (e.g., FAISS, Pinecone, Weaviate), and prompt engineering.
- Knowledge of AGI concepts, multi-agent systems, and advanced reasoning models.
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.
- Strong problem-solving, research aptitude, and communication skills.
Note:
This is a Lahore-based position with no remote work options available.
- Ready to push the boundaries of AI and contribute to next-generation intelligent systems? Apply today and help us shape the future of machine learning and AGI research
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