Job purpose: Work on machine learning and generative AI models that power Rootle's voice and chat platforms. Who You Are: A passionate Machine Learning Engineer with 1-2 years of experience to help us build cutting-edge AI systems. Strong Python programming skills with experience in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Hands-on experience in NLP techniques and frameworks like Hugging Face Transformers. Understanding of model evaluation techniques and ML fundamentals. Familiarity with version control (Git) and collaborative workflows Key Responsibilities: Develop and fine-tune machine learning and generative AI models (including LLMs) for NLP and conversation tasks. Design scalable training and inference pipelines using modern ML frameworks. Collaborate with product and engineering teams to integrate models into customer-facing systems. Conduct experiments, evaluate model performance, and iterate based on feedback and metrics. Stay current with the latest research in Gen AI, NLP, and ML, and apply innovations to production. What will excite us: Experience working with Large Language Models (e.g., GPT, LLaMA, Mistral) and prompt engineering. Exposure to vector stores (FAISS, Pinecone) and embeddings. Familiarity with tools like LangChain, FastAPI, or Docker. Experience with model deployment and serving on cloud platforms (AWS, GCP, etc.). Background in conversational AI, voice bots, or chatbot platforms is a plus. What will excite you: In-office opportunity in Ahmedabad with a collaborative and AI-focused team. Work on innovative Gen AI projects with real-world impact. Mentorship, growth opportunities, and hands-on exposure to production-scale AI systems. Location: Ahmedabad
Job purpose: Design, evaluate, and refine prompts to guide LLMs in producing accurate, relevant, and high-quality outputs for real-world applications such as voice bots, chatbots, and automation flows. Who You Are: Minimum of 2-4 years of experience working with or around Large Language Models or similar Generative AI technologies. Hands-on experience working with LLMs using OpenAI, Hugging Face, or similar platforms. Basic understanding of Python and ability to write prompt-related scripts. Familiarity with prompt evaluation frameworks and performance metrics. Key Responsibilities: Design and engineer effective prompts for use with LLMs (e.g., GPT, Claude, Mistral). Analyze model behavior and refine prompts for accuracy, relevance, and efficiency. Collaborate with product, engineering, and ML teams to integrate prompt logic into production systems. Conduct testing and evaluation of prompts across multiple tasks and domains. Research and experiment with techniques such as few-shot, zero-shot, and chain-of-thought prompting. What will excite us: Experience using LangChain or other LLM orchestration tools. Understanding of embeddings, vector databases, and semantic search. Prior experience building chatbot or GenAI applications. Awareness of model behavior limitations, hallucination risks, and mitigation strategies. What will excite you: In-office opportunity in Ahmedabad with a collaborative and AI-focused team. Work on innovative Gen AI projects with real-world impact. Exposure to production-level LLM deployment and prompt optimization at scale. Location: Ahmedabad