Job
Description
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 Requirements 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 About Company: Softsensor.ai is a USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with leading global consulting firms & corporations and delivering large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context. Show more Show less
