Centific-posted 2 months ago
Intern
1,001-5,000 employees

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

  • Engage in research focused on Natural Language Processing (NLP), Computer Vision, Machine Learning, and related fields.
  • Collaborate with industry experts and leading researchers on AI ML projects.
  • Contribute to the development of innovative solutions in AI and ML domains.
  • Publish research findings and attend relevant conferences.
  • PhD / MS candidates in relevant fields such as NLP, Computer Vision, or Machine Learning.
  • Proficiency in Python programming language.
  • Expertise in PyTorch and TensorFlow frameworks.
  • Strong understanding of Transformer Architecture.
  • Familiarity with Flow-based models.
  • Experience with Retrieval-Augmented Generation (RAG).
  • Knowledge of Vector Databases and LLM Fine-tuning.
  • Understanding of Federated Learning and Differential Privacy.
  • Experience in Red Teaming and ML Ops.
  • Competitive stipend package.
  • Hands-on experience with cutting-edge AI ML industry projects.
  • Collaboration with industry experts and leading researchers.
  • Opportunities to publish research and attend conferences.
  • A supportive and enriching environment to foster innovation.
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