Data-Driven Machine Learning Specialist

10 hours ago

Lahore, Punjab, Pakistan beBeeArtificialIntelligence Full time 15,000,000 - 20,000,000

We are seeking a skilled professional to develop and deploy in-house machine learning models for business-critical applications. The ideal candidate will have hands-on experience with model lifecycle management, from data preprocessing and feature engineering to training, evaluation, and deployment using scalable frameworks.

Key Responsibilities
  • Build autonomous AI-driven agents for tasks such as reasoning, decision-making, automation, and contextual understanding.
  • Customize and deploy foundation models to solve industry-specific challenges.
  • Design scalable, production-ready AI workflows using Python, LangChain, LlamaIndex, OpenAI functions, and AutoGPT.
  • Enhance AI agents with retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Weaviate, ChromaDB), and knowledge graphs.
  • Work with text, images, audio, and structured data to create multimodal AI applications.
  • Implement reinforcement learning, agentic workflows, and action-planning techniques to enhance AI autonomy.
  • Optimize and deploy models on cloud platforms (AWS, Azure, GCP) and ensure efficiency in a microservices-based architecture.
  • Leverage few-shot learning, prompt chaining, and tool-use APIs to improve AI reasoning capabilities.
Requirements
  • Proven experience developing GenAI-powered applications and AI agents.
  • Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex, OpenAI API).
  • Hands-on expertise in LLM fine-tuning, model adaptation, and prompt engineering.
  • Familiarity with vector databases (FAISS, Pinecone, Weaviate, ChromaDB) and knowledge retrieval techniques.
  • Experience integrating AI with APIs, automation frameworks, and microservices.
  • Working knowledge of cloud-based AI deployment (AWS, Azure, GCP).
  • Understanding of NLP, reinforcement learning, and multi-agent architectures.
  • Strong problem-solving skills, ability to work independently, and in a collaborative team environment.
  • Excellent communication skills with a passion for AI-driven innovation.

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