Nlp, Ml

Company Description Flyweis Technology operates under the Flyweis Group and is dedicated to providing a wide range of IT-related services. As a legally registered entity, Flyweis Services Pvt Ltd. aims to deliver cutting-edge technology solutions tailored to the needs of their clients. The company is known for its expertise in various technology domains, ensuring quality service and client satisfaction. Role Description This is a full-time remote role for NLP, ML & AI Developers with FastAPI expertise. The role involves developing, implementing, and maintaining AI and machine learning models, with a focus on Natural Language Processing (NLP). Developers will also work on pattern recognition, utilizing neural networks to solve complex problems. The position requires collaboration with cross-functional teams to integrate AI solutions into software development projects and ensure scalability and performance. Key Responsibilities Design and implement Natural Language Processing (NLP) models and pipelines. Build, train, and deploy Machine Learning and AI models for production. Develop and integrate APIs using FastAPI to connect backend ML services. Optimize model performance, scalability, and response time. Work with large datasets to preprocess, clean, and structure data for ML/NLP tasks. Collaborate with product, research, and engineering teams to deliver end-to-end solutions. Stay updated with the latest research and advancements in AI, NLP, and ML . Required Skills & Experience 3+ years of experience in NLP, Machine Learning, or AI development. Strong programming skills in Python . Experience with FastAPI for backend/API development. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, or SpaCy . Solid understanding of data preprocessing, embeddings, and model deployment . Knowledge of API integration, Docker, and cloud deployment (AWS/GCP/Azure) . Strong problem-solving skills and ability to work independently in a fast-paced environment. Nice to Have Experience with LLMs (Large Language Models) , fine-tuning, or prompt engineering. Understanding of vector databases (e.G., Pinecone, FAISS, Chroma) . Familiarity with LangChain or RAG-based architectures . Knowledge of MLOps practices and pipelines. What We Offer Opportunity to work on real-world AI-driven projects . A collaborative, research-oriented, and innovation-friendly environment. Access to the latest tools, technologies, and resources. Competitive compensation and professional growth opportunities. Flexible working model ( Remote) Location: Remote Option Salary Package :-INR 4 LPA-7 LPA/depends upon your experience Interested Candidates send your resume on Whats App:-