Data Scientist
1 week ago
About Centific
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.
About Job
The Data Scientist develops and deploys machine learning models and analytics solutions to solve business problems and enhance Centific's AI capabilities.
Generative AI Skills:
- Proficient with LLMs like GPT, Gemini and Llama
- Experienced in frameworks such as LangChain or Semantic Kernel
- Hands-on experience with prompting on LLMs, preferably demonstrated through a project
- Familiarity with graph models, retrieval-augmented generation (RAG), or semantic search.
- Familiarity with agentic frameworks, preferably have done some project work with agentic framework
- Candidate must have solid grasp of ML and DL fundamentals
- Knowledgeable in state-of-the-art NLP techniques
Programming Language:
- Candidate must have good hands on the any programming language preferably python, C#,
- Knowledge of Database SQL, NoSQL or cloud ecosystem like Azure
- Basic working knowledge of visualization API such as Streamlit etc.
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