Ideal candidate should have transitioned from Full-stack development (Python/MERN/JAVA) into AI/ML with solid engineering expertise and experience building, deploying and scaling ML & GenAI solutions with a focus on production-ready AI applications.
Required Candidate profile
ML libraries: NumPy, SciPy, Scikit-learn, Matplotlib.
Deep Learning: CNN, RNN, LSTM, Transformers; NLP: BERT, GPT, T5, XLNet.
RAG solutions with vector DBs like FAISS/Pinecone.
📌 Ai Ml (Gurugram)
🏢 Paxcom India
📍 Gurugram
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