Description

Required Qualifications 

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
7+ years of experience in software engineering, machine learning, or AI solution development.
Strong programming expertise in Python and experience developing enterprise-grade applications.
Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Proven experience developing solutions using Generative AI, LLMs, RAG architectures, AI Agents, and Prompt Engineering techniques.
Strong understanding of Natural Language Processing (NLP) concepts, methodologies, and toolsets.
Experience with vector databases such as Pinecone, Chroma, Weaviate, or FAISS.
Working knowledge of AI orchestration frameworks including LangChain and LlamaIndex.
Experience implementing MLOps practices and tools for model deployment, monitoring, and governance

Key Skills

Education

Bachelor's or Master's degrees