10 Fewshot Learning Jobs

As a Senior Technical Architect specializing in Machine Learning Solutions, you will play a crucial role in leading the end-to-end architecture of advanced ML-driven platforms within our enterprise. Your expertise in Machine Learning (ML), Artificial Intelligence (AI), and scalable ML system design will be instrumental in delivering impactful, production-grade AI solutions across the organization. **Key Responsibilities:** - Lead the architecture and design of enterprise-grade ML platforms, encompassing data pipelines, model training pipelines, model inference services, and monitoring frameworks. - Architect and optimize ML lifecycle management systems (MLOps) to facilitate scalable, reprodu...

As an Associate Architect Machine Learning (ML) with 4-7 years of experience, you will play a crucial role in integrating generative AI (Gen AI) capabilities into various Software Development Lifecycle (SDLC) phases to enhance efficiency and innovation. Your primary focus will be on identifying high-impact business opportunities where Gen AI adoption can accelerate project delivery and improve solutioning across multiple domains. This position requires a blend of technical expertise, strategic thinking, and client engagement skills to successfully drive Gen AI implementation. Your responsibilities will include collaborating across multiple projects to identify Gen AI and ML strategies, leadi...

As a skilled AI Engineer, you will demonstrate proficiency in Generative AI & LLMs including GPT-3, Langchain, and LLMs. Your experience in prompt engineering, few-shot/zero-shot learning, RLHF, and model optimization will be essential in developing and implementing generative AI models. Your expertise in Machine Learning & NLP, particularly in Python utilizing frameworks like Hugging Face, TensorFlow, Keras, and PyTorch, will play a crucial role in optimizing LLM performance through fine-tuning and hyperparameter evaluation. A strong understanding of embeddings and data modeling is required for this role. Experience with various databases such as vector databases, RDBMS, MongoDB, and NoSQL ...

You should have a minimum of 4+ years of experience in AI-based application development. Your responsibilities will include fine-tuning pre-existing models to improve performance and accuracy. You should have experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks, as well as familiarity with APIs like OpenAI or Vertex AI. Additionally, experience with NLP tools and libraries like NLTK, SpaCy, GPT, and BERT is required. You will be implementing frameworks like LangChain, Anthropics Constitutional AI, OpenAI, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluating and analyzing RAG solutions and utilizing ...

As a part of Cowbell's innovative team in the field of cyber insurance, you will play a crucial role in designing and implementing RAG-based systems, integrating LLMs with vector databases, search pipelines, and knowledge retrieval frameworks. Your responsibilities will include developing intelligent AI agents that automate tasks, retrieve relevant information, and enhance user interactions. You will work with APIs, embeddings, and multi-modal retrieval techniques to improve the performance of AI applications. Additionally, you will be tasked with optimizing inference pipelines and enhancing LLM serving, fine-tuning, and distillation for efficiency. Staying abreast of the latest advancements...

If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, an excellent opportunity awaits you. EXL, a rapidly expanding global digital data-led AI transformation solutions company, is seeking candidates with deep expertise in developing and fine-tuning Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic solutions, and knowledge graph technologies to drive innovative solutions in Generative AI. You will have the chance to be at the forefront of pioneering advancements in AI, working alongside bright minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial ...

As an AIML - LLM Gen AI Engineer, your primary responsibility will be to design, develop, and implement solutions using transformer-based models for various Natural Language Processing (NLP) tasks. This includes tasks such as text generation, summarization, question answering, classification, and translation. You will be working extensively with transformer models like GPT, BERT, T5, RoBERTa, and similar architectures. Your deep understanding of model architectures, attention mechanisms, and self-attention layers will be crucial in effectively utilizing Large Language Models (LLMs) to generate human-like text. You will lead efforts in fine-tuning pre-trained LLMs and other transformer models...

As a Prompt Engineer in our Artificial Intelligence/Product Development/Data Science department, you will utilize your creativity, strong logical thinking, and expertise in large language models (LLMs) to assist in the establishment of an efficient and precise prompt system. Your role will involve driving the implementation of generative AI technology in our products, collaborating closely with machine learning engineers, product managers, designers, and researchers to enhance model response quality and elevate user interaction experiences. Your responsibilities will include designing, testing, and optimizing prompt templates for prominent LLMs like GPT-4, Claude, and Gemini. You will analyz...

As a Prompt Engineer in the Artificial Intelligence/R&D department, you will play a vital role in building, optimizing, and testing natural language prompts to enhance the performance of large language models like OpenAI GPT, Claude, and Gemini. Your primary responsibilities will involve designing, writing, and optimizing natural language prompts to address specific business or product challenges. Working alongside data scientists, product managers, and engineering teams, you will contribute to the development of high-quality AI prompt systems for real-world applications. Your role will require you to analyze and test the impact of different prompts on model output quality, collaborating clo...

As a Senior QA Engineer at our company, you will be leading quality assurance for Generative AI (GenAI) solutions within our Digital Twin platform. Your role will involve focusing on the evaluation, reliability, and guardrails of AI-powered systems in production, going beyond traditional QA practices. Your responsibilities will include designing and implementing end-to-end QA strategies for applications using Node.js integrated with LLMs, RAG, and Agentic AI workflows. You will establish benchmarks and quality metrics for GenAI components, develop evaluation datasheets for LLM behavior validation, and conduct data quality testing for RAG databases. Additionally, you will perform A/B testing,...