On-site
Full Time
Requirements & Qualifications:
• Strong programming skills in languages such as Python, R, or Java. Familiarity with machine
learning
libraries/frameworks like TensorFlow, PyTorch, or scikit-learn is advantageous.
• Understanding of fundamental statistical concepts and techniques used in machine learning,
such as
probability theory, hypothesis testing, and regression analysis.
• Ability to work with diverse datasets, perform data preprocessing tasks, and extract actionable
insights
using tools like Pandas, NumPy, or SQL.
• Experience in code versioning using Git, maintaining modularized code base for multiple
deployments.
• Experience in working in Agile environment.
• Basic understanding of RESTful APIs & containerization.
• Good understanding for LLM platform, RAG & GAN model.
• Good understanding of the LangChain and AutoGen framework.
• Experience with Vector Database.
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