Deep Learning Specialist

1 week ago


Lahore, Punjab, Pakistan beBee Careers Full time
Job Title: Machine Learning Specialist

About the Role:
This role involves working as an AI/ML Engineer at Datum Labs, where you will be responsible for designing, training, and deploying cutting-edge AI models. The primary focus will be on deep learning, generative AI, and neural representation learning, with contributions to real-world applications in AI-driven data intelligence.

Your Key Responsibilities:
  • Develop, deploy, and optimize AI models, including LLMs, diffusion models, and neural networks.
  • Collaborate with data engineers to build and enhance data pipelines & ETL workflows.
  • Optimize deep learning models for improved performance, scalability, and efficiency.
  • Implement and manage vector databases (Weaviate, Pinecone) for AI applications.
  • Work closely with cross-functional teams to align AI initiatives with business objectives.
  • Ensure model explainability, fairness, and bias mitigation for responsible AI practices.
  • Provide valuable insights and actionable recommendations through customer discussions.
  • Deploy models in production with intuitive, user-friendly interfaces.
  • Implement MLOps practices for model monitoring, retraining, and lifecycle management.

Key Requirements:
  1. Strong expertise in Python and relevant libraries (PyTorch, TensorFlow, Pandas, NumPy).
  2. Hands-on experience with LLMs, Generative AI, Hugging Face Transformers, Diffusers.
  3. Knowledge of prompt engineering, model optimization, and fine-tuning techniques.
  4. Experience with data analysis, unstructured datasets, and model visualization tools.
  5. Familiarity with APIs for model integration (e.g., FastAPI, Flask).
  6. Solid understanding of SQL for structured data analysis.
  7. Experience with cloud-based ML tools (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
  8. Proficiency in version control systems like Git.
  9. Excellent problem-solving skills with attention to detail.
  10. Effective communication and presentation skills for technical and non-technical stakeholders.


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