Shine.com Hiring For xoriant

Industry: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full-Time, Permanent Role Category: Data Science & Machine Learning About the Role: We are looking for a talented Python Developer with practical experience working on Large Language Models (LLMs) and AI/ML projects. This role involves designing and deploying intelligent applications and scalable systems using cutting-edge machine learning techniques and Python-based frameworks. If you're enthusiastic about bridging software development and AI innovation, this opportunity is for you. Key Responsibilities: Design and build Python applications that integrate with advanced LLMs such as OpenAI, Hugging Face Transformers, or LLaMA. Create robust, end-to-end ML pipelines, covering data processing, model training, evaluation, and deployment. Customize or fine-tune pre-trained language models to align with business-specific requirements. Collaborate with cross-functional teamsdata scientists, ML engineers, and product managersto develop AI-driven features. Develop APIs and microservices to serve ML models in production using FastAPI or Flask. Monitor and enhance model performance, reliability, and scalability. Ensure clean, maintainable code with proper documentation and version control (Git). Requirements: Proficient in Python and key ML libraries such as NumPy, Pandas, and scikit-learn. Experience with Large Language Models and tools like Hugging Face Transformers, LangChain, or OpenAI API. Understanding of prompt engineering and fine-tuning LLMs. Strong knowledge of machine learning concepts including NLP, embeddings, and supervised/unsupervised learning. Familiarity with frameworks such as TensorFlow or PyTorch. Hands-on experience building RESTful APIs and microservices using FastAPI or Flask. Exposure to cloud environments (AWS, Azure, GCP) and model deployment practices. Proficient with Git and CI/CD workflows. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Experience working with vector databases like FAISS, Pinecone, or ChromaDB. Familiarity with LangChain, Retrieval-Augmented Generation (RAG), or semantic search systems. Understanding of containerization and orchestration tools like Docker and Kubernetes. Prior involvement in building chatbots, recommendation engines, or generative AI solutions.