AI Engineer

4 weeks ago

Karachi, Sindh, Pakistan Cognitiveitsolutions Full time

We've all heard how crucial it is to set intentions, goals, and targets. Powerful goals electrify us. Clear intentions energize and pull us forward.

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Key Responsibilities:

  • Build and deploy AI models (LLMs, NLP, computer vision) using frameworks like TensorFlow, PyTorch, LangChain, and LangGraphs.
  • Lead the development of Generative AI applications (text, image, or multimodal) using models like GPT, Gemini, Stable Diffusion, or custom architectures.
  • Collaborate with data scientists, ML engineers, and product managers to translate business needs into AI solutions.
  • Contribute to the architecture of AI infrastructure, including model serving and CI/CD for ML.
  • Mentor junior developers and share best practices across the team.
  • Develop APIs with Flask, FastAPI for model integration.
  • Work with cross-functional teams to deliver AI-powered solutions.
  • Utilize vector databases (e.g., Weaviate, Qdrant, FAISS, Chroma) for AI search and retrieval tasks.

Qualifications

  • 2+ years of experience in Generative AI and deploying models using Flask, FastAPI.
  • Strong proficiency in Python and libraries such as TensorFlow, PyTorch, LangChain.
  • Proven track record of deploying AI/ML models in production.
  • Familiarity with RESTful API principles and experience in API integration.
  • Knowledge of embedding models and NLP pipelines.
  • Experience with scraping and automation tools like Requests, Selenium, BeautifulSoup.
  • Experience implementing RAG techniques in AI applications including chatbots.
  • Experience with Computer Vision and Image Recognition models like YOLO, Facenet, Sadtalker, etc.
  • Knowledge of transformers and LLMs (e.g., GPT, BERT, T5).
  • Understanding of AI inference optimization and scalability.
  • Experience with version control systems like Git.
  • Expertise in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
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