Gurugram, Haryana, India
Information Technology
Full-Time
SoftSensor.ai
Overview
Key Responsibilities
- Fine-tune and deploy LLMs (e.g., LLaMA 3.2) using LoRA, QLoRA, and related optimization techniques
- Build intelligent systems combining NLP, image analysis, and pattern recognition
- Develop and integrate retrieval-augmented generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases like FAISS or Weaviate
- Apply statistical analysis, feature engineering, and advanced data analysis techniques using NumPy and Pandas
- Train and evaluate models with CNNs, transformers, and neural networks in PyTorch, TensorFlow, or Keras
- Package and deploy scalable inference APIs with FastAPI on AWS or Azure
- Collaborate directly with product and engineering teams to ship AI features into production
- Possess 1+ years of hands-on experience in data science, machine learning, or deep learning roles
- Demonstrate strong experience with Python, NumPy, Pandas, and modern ML frameworks (PyTorch or TensorFlow)
- Show practical understanding of transformers, CNNs, and neural network training pipelines
- Have exposure to LLMs, vector databases, and/or retrieval-augmented generation (RAG) systems
- Be familiar with FastAPI and deploying ML models to the cloud (AWS or Azure)
- Hold a solid grounding in statistics, data wrangling, and model evaluation techniques
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