29 Text Generation Jobs

As a Senior Data Scientist in the Data & Analytics department, your expertise in machine learning and statistics will be utilized to derive valuable insights from data. Your responsibilities will include developing predictive models, interpreting data, and collaborating closely with ML engineers to ensure the effective deployment and functioning of these models. Key Responsibilities: - Lead cross-functional teams in designing, developing, and deploying Generative AI solutions, focusing on Large Language Models (LLMs). - Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, aligning with project goals. - Deploy and scale LLM-based solut...

Role Overview: As an Experienced Data Scientist at the company, you will be focused on developing and implementing Generative AI solutions to tackle critical business challenges and discover new opportunities. Your expertise in data science, machine learning, and Generative AI techniques will be vital in driving impactful projects from inception to implementation. Key Responsibilities: - Data Handling & Preparation: - Work with diverse and large-scale datasets. - Perform data cleaning, preprocessing, and feature engineering. - Create synthetic datasets for training and evaluating Generative AI models. - Maintain data quality and integrity throughout the model development process. - Model Opt...

As an AI/ML Engineer Intern at Senda, you will be responsible for the following: - Designing, developing, and optimizing Retrieval-Augmented Generation (RAG) models. - Implementing vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts. - Fine-tuning and optimizing large language models to enhance performance and accuracy. - Applying NLP, NLU, and NLG techniques such as sentiment analysis, entity recognition, and text generation to improve conversational AI capabilities. You should have the following qualifications: - Educational Background: Pursuing or recently completed a degree in Computer Science, Data Science,...

Role Overview: As an AI Engineer specializing in Speech-to-Text and Text Generation, your role will involve solving a Conversational AI challenge for our client based in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Key Responsibilities: - Develop and fine-tune automatic speech recognition (ASR) models. - Implement language model fine-tuning for industry-specific language. - Develop speaker diarization techniques for multi-speaker conversations. - Build summarization models to extract key insights. - Implement Named Entity Recognition (NER) for identifying key topics. - Apply...

Basic Qualifications Bachelors degree in Computer Science, AI/ML, or a related quantitative field. 3-5 years of experience in AI/ML engineering, with hands-on exposure to GenAI, LLMs, NLP, and agentic architectures. Proven experience deploying enterprise-grade AI agents, including pre-launch testing, HITL workflows, and business UAT sign-off. Familiarity with multi-modal AI (text, image, audio) and unstructured data processing using Databricks Genie, AI Foundry, and AI Search. Experience working in agile, cross-functional teams and delivering measurable impact through automation and intelligent systems. Duties Responsibilities Translate business requirements into scalable and well-documented...

Job Description Responsibilities : Identify relevant data sources - a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data, leveraging NLP techniques for text data. Handle large amounts of information to create the input for analytical models, incorporating Gen AI for advanced data processing and generation. Build predictive models, machine learning, and deep learning algorithms; innovate with Gen AI applications in model development. Build network graphs, apply NLP techniques for text analysis, and design forecasting models while building data pipelines for end-to-end solutions. Propose solutions ...

Job Description: AI Engineer Experience- 2-4 Yrs Location: Bangalore (WFH) Employment Type: Full-time About the Role We are seeking a skilled Data Scientist/AI Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems. Key Responsibilities Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases. Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solv...

As a skilled professional in the field of Data Science, Machine Learning, and Natural Language Processing (NLP), you will play a crucial role in developing innovative solutions using advanced technologies. Here are the key responsibilities and qualifications required for the role: **Role Overview:** You will be part of a dynamic team at Birlasoft, a leading provider of domain expertise and digital technologies, dedicated to redefining business processes through a consultative and design thinking approach. The company places a strong emphasis on Diversity, Equity, and Inclusion (DEI) initiatives and Corporate Social Responsibility (CSR) activities to create inclusive and sustainable communiti...

Role Overview: As a Generative AI Expertise, you will be expected to have in-depth knowledge of various Generative AI techniques such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. It is essential to have experience in both image and text generation. You should be conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Additionally, exposure to both API-based and open-source LLMs-based solution design is required. Key Responsibilities: - Lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages from probl...

As a Freelance Trainer specializing in AI Tools, your role will involve delivering engaging and outcome-driven training sessions on AI tools and platforms to professionals, students, and organizations. You will be responsible for designing and customizing content to enhance participants" skills in using AI-driven tools for productivity, automation, data analysis, and business applications. Key Responsibilities: - Design and deliver high-quality training modules on various AI tools and applications such as ChatGPT, MidJourney, Jasper, Runway, Synthesia, Claude, Bard, GitHub Copilot, AI-powered analytics tools, and AutoML platforms. - Develop customized training content, case studies, hands-on...

Ready to be a part of something big Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it's voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world.At SoundHound, data and engineering are two of our biggest assets. This role lives at the intersection of the two. We aspire to leverage our data to make informed decisions to steer product dev...

Role Overview: As a part of our team, you will have the exciting opportunity to work with cutting-edge AI technologies, specifically focusing on Generative AI and Natural Language Processing (NLP). You will be involved in developing AI solutions, collaborating with experts, and contributing to the advancement of the field of AI. Key Responsibilities: - Assist in designing and developing NLP systems for tasks like text classification, sentiment analysis, named entity recognition (NER), and machine translation. - Contribute to the development of language models for text summarization, question answering, and dialog systems. - Work with large unstructured text datasets, implementing techniques ...

Role Overview: You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Key Responsibilities: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Qualifications Require...

Role Overview: You will be a Python AI/ML Developer focusing on Large Language Models (LLMs) and scalable backend development. Your role will involve building and deploying AI-powered applications using Python and LLM APIs, designing RESTful and asynchronous APIs, integrating databases, and creating frontend UIs. Collaboration with cross-functional teams to bring concepts to production will also be a significant part of your responsibilities. Key Responsibilities: - Build and deploy AI-powered applications using Python and LLM APIs such as OpenAI, LLaMA, Mistral, etc. - Develop RESTful and asynchronous APIs with FastAPI and Django. - Integrate and manage databases like PostgreSQL and MongoDB...

Role & responsibilities : Mine, process, and analyse hit/event level web, product, sales, and digital marketing data. Leverage LLMs (Large Language Models) and traditional machine learning to mine, process, and analyze web, product, sales, and digital marketing event-level data. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Build and deploy predictive models and ML algorithms across structured and unstructured customer profile, journey, and usage datasets. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketin...

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

As an experienced AI professional with 12-16 years of experience, you will be responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures such as GPT, BERT, and T5. You will work with extensive and complex datasets, performing tasks like cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaboration with cross-functional teams will be key to identifying project objectives and creating solutions using generative AI tailored to business needs. Your role will also involve implementing, fine-tuning, and scaling generative AI models in production envi...

As an AI/ML Backend Developer, you will be responsible for designing, developing, and maintaining REST APIs using Python to integrate AI/ML services. Your role will involve orchestrating AI agents capable of reasoning, planning, and executing multi-step tasks by integrating LLMs with APIs, tools, and data sources. You will also be implementing and managing machine learning models, large language models (LLMs), Agentic AI workflows, and AI orchestration using Python. Additionally, you will utilize Generative AI models for tasks like text generation, summarization, conversational AI, and content creation. Your responsibilities will also include working with structured databases (SQL), graph da...

About the Role We are seeking a highly skilled Senior NLP Engineer with expertise in large language models (LLMs), prompt engineering, and transformer-based architectures. The ideal candidate will have strong experience fine-tuning, deploying, and optimizing advanced NLP models for real-world applications such as summarization, text generation, and question answering. You will collaborate with cross-functional teams to design scalable, production-ready solutions while addressing challenges such as bias, hallucinations, and knowledge cutoffs. Key Responsibilities: Fine-tune pre-trained models on domain-specific datasets to optimize for summarization, text generation, question answering, and r...

As an AI/ML Backend Developer, your role will involve designing, developing, and maintaining REST APIs using Python to seamlessly integrate AI/ML services. You will be tasked with orchestrating AI agents capable of reasoning and executing multi-step tasks by integrating large language models (LLMs) with APIs, tools, and data sources. Additionally, you will implement and manage machine learning models, LLMs, and AI workflows using Python. Your expertise in Generative AI solutions will be utilized for tasks like text generation, summarization, conversational AI, and content creation. Moreover, you will work with various databases including structured (SQL), graph (e.g., CosmosDB), and unstruct...

You are seeking an AI Engineer (Level 2 & 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs. Your responsibilities will include designing and developing AI solutions focusing on large language models, experimenting with state-of-the-art Transformer architectures to address complex language understan...

The ideal candidate for this role should have a minimum of 3 years of experience working with AI/ML/data-platform products. You should be adept at taking an AI product/platform from the ideation stage to market launch. Proficiency in GenAI is a must-have requirement for this position. Your responsibilities will include designing, developing, and deploying advanced AI models with a specific focus on generative AI. This will involve working with transformer architectures like GPT, BERT, and T5, as well as other deep learning models used for text, image, or multimodal generation. You will be expected to work with extensive and complex datasets, performing tasks such as data cleaning, preprocess...

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 the AVP Business Intelligence Unit Manager in the Business Intelligence Analytics department of a private bank in Mumbai, your main responsibility is to lead and manage business intelligence initiatives focused on automation, data democratization, and standardization. Your role will involve generating actionable insights, automating dashboards, and supporting risk management through analytics. You will be expected to have a strong understanding of NLP, LLMs, Deep Learning, Machine Learning, Text generation, etc. Additionally, you will lead the automation of regular reports and MIS using SAS Viya and Power BI. Supporting business teams in converting manual reporting into dynamic dashboards...

As a Decision Scientist - Senior at FedEx, you will work with cross-functional and cross-regional teams to analyze data, monitor and forecast trends, create strategies, provide requirements to data scientists and technology teams, and communicate with global stakeholders to ensure the best possible customer experience. Joining the Customer Experience Analytics team as a skilled and passionate GenAI Prompt Engineer, you will focus on designing inputs for AI tools that generate optimal outputs and enhance customer experience through data-driven insights and innovative product development. Your main responsibilities will include designing and developing prompts for various applications, collabo...