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Data Science Lead - Artificial Intelligence

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Responsibilities
  • Lead AI-driven projects, overseeing the development and deployment of advanced machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate AI solutions into business processes.
  • Research and implement cutting-edge AI techniques, including deep learning, NLP, and generative models.
  • Mentor junior team members and promote best practices in AI development.
Qualifications
  • Master's degree or higher in Data Science, Computer Science, Statistics, or a related field; PhD preferred.
  • Experience in Generative AI, Machine Learning, or NLP, especially in academic or financial sectors.
  • Proven research record with publications and significant project contributions involving AI technologies.
Skills
  • Expertise in machine learning, deep learning (CNNs, RNNs, GANs), and transformer models for NLP.
  • Experience with algorithms like RAG, LoRA, and ensemble methods; optimizing for performance and scalability.
  • Strong knowledge of data architecture, data pipelines, and cloud deployment (AWS, Azure, GCP).
  • Proficiency in NLP libraries such as NLTK, spaCy, Hugging Face Transformers.
Additional Details
  • Seniority level: Not Applicable
  • Employment type: Contract
  • Job function: Engineering and IT
  • Industries: IT Services and Consulting

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