10 Text Generation Jobs

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 unstructured data stores (e.g., Elasticsearch). You will be responsible for building retrieval-augmented generation (RAG) pipelines leveraging Azure AI Search, AWS OpenSearch, or other vector databases for contextual responses. Designing and managing robust data ingestion and transformation pipelines to feed AI models will also be a key aspect of your role. Furthermore, you will develop or integrate intent detection models and natural language understanding (NLU) solutions to enhance conversational AI. Your tasks will include creating and optimizing prompts for LLMs to enhance response quality and reduce latency. Collaborating with frontend and product teams to embed Gen AI features into enterprise applications will also be part of your responsibilities. The required skills for this role include proficiency in Python for backend development, experience in AI/ML orchestration, expertise in Agentic AI, familiarity with Generative AI models, strong data management skills, and experience with RAG implementation. Hands-on experience with data pipelines, intent detection & NLU, and AI integration is essential. Preferred skills include familiarity with cloud platforms like Azure and AWS, knowledge of additional AI/ML frameworks and tools, understanding of Agentic AI, and experience with DevOps practices and CI/CD pipelines. If you possess the required skills and are enthusiastic about working in the field of AI/ML development, this opportunity as an AI/ML Backend Developer (GenAI) in a contract hiring role might be the perfect fit for you.,

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 understanding and generation tasks. You will leverage modern AI frameworks and tools to develop, fine-tune, and integrate LLMs into applications, ensuring models are optimized and efficient for production use. Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in solutions. Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Deploy and scale models in production environments, implementing MLOps best practices for robust, repeatable model deployments. Utilize cloud services for model training, deployment, and infrastructure management, optimizing resources to handle large-scale training and inference efficiently. Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage. Collaborate with cross-functional teams to integrate AI capabilities into products, ensuring AI systems meet client needs and quality standards. Stay up-to-date with the latest AI research, papers, and trends in the industry, experimenting with new algorithms, models, and techniques to keep solutions at the cutting edge. You should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, plus 4+ years of hands-on experience in AI/ML engineering or a similar role. Strong foundation in deep learning and NLP, experience in transformer-based architectures and large language models is required. Proficiency in Python programming and experience with major AI/ML frameworks and libraries is necessary. Proven experience in developing NLP solutions, model tuning, deployment of machine learning models, and familiarity with deploying in cloud environments is highly desired.,

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, preprocessing, and transformation to ensure the quality and relevance standards required for generative model training are met. Collaboration with cross-functional teams, including product, engineering, and data science teams, will be essential to identify project objectives and develop generative AI solutions tailored to meet business needs. Your role will also involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. Developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production, will be part of your responsibilities. As part of your continuous learning, you will need to stay updated on the latest advancements in generative AI research, techniques, and tools, and apply new findings to enhance model performance, usability, and scalability. Additionally, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders will be crucial, with a strong emphasis on explainability and responsible AI practices. Qualifications Required: - Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI is considered a plus. - Experience: 2 - 11 Years of experience in machine learning, with at least 2 years dedicated to designing and implementing generative AI models or working with transformer-based models. Skills and Experience Required: - Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation - Machine Learning: Algorithms, Deep Learning, Neural Networks - Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow - MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) - Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: - BRING YOUR PASSION AND FUN: Enjoy a corporate culture that values highly diverse perspectives and insights. - BALANCE WORK AND PERSONAL TIME LIKE A BOSS: Benefit from resources and flexibility to seamlessly integrate your work and personal life. - BECOME A CERTIFIED SMARTY PANTS: Avail ongoing training and development opportunities to satisfy your appetite for learning. - START-UP SPIRIT (Good ten plus years, yet we maintain it): Experience the agility and innovation of a start-up environment combined with the stability of an established organization. - FLEXIBLE WORKING HOURS: Embrace a work environment that supports flexibility in working hours to enhance work-life balance.,

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 on domain-specific datasets to optimize performance for specialized NLP tasks. In your role, you will apply your knowledge of attention mechanisms, context windows, tokenization, and embedding layers in model development and optimization. It will be essential to address and mitigate issues related to biases, hallucinations, and knowledge cutoffs that can impact LLM performance and output quality. You will craft clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including the use of instruction-based prompting. Additionally, you will implement and experiment with zero-shot, few-shot, and many-shot learning techniques to maximize model performance without extensive retraining. Your iterative approach to prompt engineering strategies will involve refining outputs, rigorously testing model performance, and ensuring consistent and high-quality results. You will also be responsible for creating prompt templates for repetitive tasks that are adaptable to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting will enable you to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Your contribution will span the entire lifecycle of machine learning models in an NLP context, including training, fine-tuning, and deployment. **Required Skills & Qualifications:** - A minimum of 8 years of experience working with transformer-based models and NLP tasks, focusing on text generation, summarization, question answering, classification, and similar applications. - Proficiency in transformer models such as GPT, BERT, T5, RoBERTa, and foundational models. - Strong familiarity with model architectures, attention mechanisms, and self-attention layers for generating human-like text. - Proven experience in fine-tuning pre-trained models on domain-specific datasets for various NLP tasks. - Knowledge of attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs affecting LLM performance. - Ability to craft clear, concise, and contextually relevant prompts for LLMs. - Experience in zero-shot, few-shot, and many-shot learning techniques. - Proficiency in Python and NLP libraries like Hugging Face Transformers, SpaCy, NLTK. - Solid experience in training, fine-tuning, and deploying ML models in an NLP context. - Strong problem-solving skills and analytical mindset. - Excellent communication and collaboration abilities for remote or hybrid work environments. - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field. This role requires a combination of technical expertise in AI/ML, NLP, and transformer models, along with strong problem-solving and communication skills to achieve effective results in the field.,

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 will also be a key part of your role. Collaboration with risk compliance, product teams, IT, data engineers, and governance is essential to ensure consistent data. Working on complex data sets to identify key trends, exposures, and risk indicators using visual analytics for business highlighting is another crucial aspect of your job. You will also be responsible for the monthly preparation and timely publishing of the Risk Review Deck for senior management review. Monitoring and enforcing best practices in data sourcing and transformation will be part of your job requirements. The ideal candidate for this role should have a graduate or postgraduate degree in Engineering, Statistics, Mathematics, or a related field. You should have 7-8 years of experience in Business Intelligence/Data Analytics in the banking sector. Hands-on experience in data visualization tools like Power BI, Tableau, and language queries like SAS, SQL, Python is necessary. Understanding risk metrics and exposure analysis in banking is preferred. Strong communication and stakeholder management skills are also required for this role.,

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, collaborating with cross-functional teams to understand user needs, analyzing and iterating on prompts based on performance metrics and user feedback, conducting experiments to test new prompting techniques, staying updated on advancements in natural language processing (NLP) and AI, documenting and communicating work clearly, providing actionable insights to business and leadership, enhancing virtual assistant interactions with customers, improving turnaround time on report development, and contributing to FedEx's digital adoption strategy. To qualify for this role, you should have a Bachelor's degree in computer science, linguistics, writing, or a related field, proficiency in programming languages like Python and experience with relevant libraries and frameworks, at least 2 years of experience in prompt engineering or a related role in the AI and Chatbots domain, strong analytical skills, experience with large datasets and data visualization tools, excellent communication and collaboration skills, ability to thrive in a fast-paced environment, and a minimum of 4+ years of relevant experience. FedEx values diversity, equity, and inclusion in the workforce, and is committed to providing growth opportunities for all individuals. As an equal opportunity/affirmative action employer, FedEx ensures fair treatment and a supportive work environment. The company's People-Service-Profit philosophy underscores the importance of its employees, who deliver exceptional service to customers worldwide. FedEx's culture, built on values and behaviors, has been integral to its success and growth since its inception in the early 1970s. Through a focus on innovation, quality service, and employee well-being, FedEx continues to thrive in the global marketplace.,

As a Senior AI/ML Engineer, 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, T5, and other deep learning models utilized for text, image, or multimodal generation. You will work with extensive and complex datasets by cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Additionally, you will collaborate with cross-functional teams to identify project objectives and create solutions using generative AI tailored to business needs. Your role will involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. You will also be responsible for developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. It is essential to stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Furthermore, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders with an emphasis on explainability and responsible AI practices. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI would be advantageous. You should have 12-16 years of experience in machine learning, with at least 8 years in designing and implementing generative AI models or working specifically with transformer-based models. The ideal candidate will possess expertise in generative AI, transformer models, GANs, VAEs, text generation, and image generation. Strong knowledge of machine learning algorithms, deep learning, neural networks, and programming skills in Python and SQL are required. Familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow, and experience with MLOps tools like Docker, Kubernetes, MLflow, and Cloud Platforms (AWS, GCP, Azure) is essential. Additionally, proficiency in data engineering concepts such as data preprocessing, feature engineering, and data cleaning is preferred. Joining our team will provide you with an opportunity to work on technical challenges with global impact, vast opportunities for self-development through online university access and sponsored certifications, sponsored Tech Talks & Hackathons, and a generous benefits package including health insurance, retirement benefits, flexible work hours, and more. You will work in a supportive environment with forums to explore passions beyond work, offering an exciting opportunity to contribute to cutting-edge solutions while advancing your career in a dynamic and collaborative setting.,

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. Your main responsibilities will include developing Conversational AI & Call Transcription solutions, creating NLP & Generative AI Applications, performing Sentiment Analysis & Decision Support tasks, and handling AI Deployment & Scalability aspects. You will be expected to work on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key technical skills required for this role include a strong background in Speech-to-Text (ASR), NLP, and Conversational AI, along with hands-on experience in tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text, Python, PyTorch, TensorFlow, Hugging Face Transformers, LLM fine-tuning, RAG-based architectures, LangChain, and Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB). Experience in deploying AI models using Docker, Kubernetes, FastAPI, Flask will be essential. In addition to technical skills, soft skills such as translating AI insights into business impact, problem-solving abilities, and effective communication skills to collaborate with cross-functional teams will be crucial for success in this role. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP use cases, a background in knowledge graphs, prompt engineering, and multimodal AI, as well as familiarity with Reinforcement Learning (RLHF) for enhancing conversation models.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Business Analyst , Data Science ! This role supports Commercial Analytics enablement, which includes understanding of business trends, provide data driven solutions. Within the Analytics, crafted to support brands and go-to-market strategies, Customer Analytics focuses on bringing and scaling analytics solutions that advances Customer centricity and transformation. The Analytics member is accountable for providing analytic expertise and delivering business insights to the Commercial organization. We&rsquore looking for a technically sound and who is interested in working within customer environment. Responsibilities: Relevant years of professional experience in implementing Analytics for business support. Must have experience with classification, regression and time series forecasting using ensemble methods with clear understanding. Well versed with data exploration and statistical inference from data. Having hands on year s experience building front end application using Streamlit / Gradio /Flask/Fast for Generative AI input and output display. Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models. Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation. Building chatbot using different scalable data source for generating charts and statement. Proficiency in programming language Python, SQL. Responsible for weekly release of upgrades and new features to enhance current algorithm. Qualifications we seek in you! Minimum Qualifications Masters or bachelor&rsquos in engineering - BE/B- Tech, BCA, MCA, BSc/MSc Master&rsquos in science or related Preferred Qualifications/ Skills R / Python and SQL certification Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Documentandcommunicatetechnicalspecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required GenerativeAI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tensor Flow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks &Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Private and Confidential www.fissionlabs.com info@fissionlabs.com Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.