6 Text Generation Jobs

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.