Expert Deep Learning Architect

6 days ago

Karachi, Sindh, Pakistan beBee Careers Full time

Lead Machine Learning Engineer

We are seeking a seasoned Lead Machine Learning Engineer to drive the development and deployment of cutting-edge AI models. This role requires expertise in computer vision, natural language processing, and machine learning engineering.

About the Role

This position involves leading a team of engineers, designing, developing, and deploying generative AI models, large language models, and retrieval-augmented generation systems. You will conduct research in AI, collaborating with product teams to integrate AI/ML technologies into new and existing products.

Responsibilities
  • Design, develop, and deploy generative AI models, large language models, and retrieval-augmented generation systems
  • Conduct research in AI, contributing to advancements in image and video analysis, object detection, segmentation, and NLP
  • Collaborate with product teams to integrate AI/ML technologies into new and existing products
  • Develop and implement machine learning algorithms and models using state-of-the-art techniques and best practices
  • Optimize models for performance, scalability, and efficiency on cloud platforms
  • Mentor and lead a team of machine learning engineers, fostering a culture of technical excellence
  • Stay up-to-date with industry trends and emerging technologies in AI
Requirements
  • Advanced degree (Ph.D. or Master's) in Computer Science, Machine Learning, or a related field
  • 5+ years of experience in machine learning and deep learning, with a focus on generative AI and large language models
  • Experience with NLP and text generation models such as GPT, Gemini, LLaMA, or BERT
  • Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras
  • Experience with cloud platforms, specifically AWS (SageMaker & Bedrock), GCP (Vertex AI), and Azure (Machine Learning)
  • Knowledge of MLOps tools and practices, including CI/CD, model versioning, and deployment automation

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