10 Text Summarization Jobs

We are seeking an enthusiastic RPA & Intelligent Automation professional to join our newly founded CoE team at Booking.com. Your role will involve meeting the increasing demand from the business, supporting our rapidly growing portfolio of automation, and making a significant impact across all business areas. We consider our team as a service provider for the entire company, operating with a high degree of autonomy and entrepreneurship. In this role, you will be naturally oriented towards improving efficiencies, seeking accountability from yourself and others, and collaborating compassionately with a deep sense of camaraderie. You should be willing to be cross-functional, pick up new skills, and strive for continuous improvement and high quality in your work. Additionally, having a strong work ethic, high spirit, and a keen interest in understanding and solving real-world problems through technology are essential. From a technology standpoint, you should have at least 10 years of experience in developing in Blue Prism. A background in CS, Engineering, or similar field is a must-have, along with Blue Prism certification. Proficiency in core Python libraries, exposure to AI/ML frameworks, and understanding of NLP techniques are beneficial. Familiarity with AWS components, experience with VAULT, PASSPORT, Gitlab, and exposure to Terraform for deploying AWS services are also advantageous. Professional experience with SQL, .NET, C#, HTTP APIs, and Web Services is required, as well as experience working in a scrum/agile environment and excellent communication skills in English. In terms of people leadership, you will be responsible for inspiring and motivating multiple cross-technology teams, managing engineers, nurturing engineering talent, and fostering a culture of innovation and collaboration. You should have excellent communication skills, stakeholder management experience, technical vision, and the ability to lead by example. Your responsibilities will also include contributing to the product strategy for automation systems architecture, defining and delivering the roadmap, building new products and operational plans, driving innovation, and collaborating with technical leads, architects, product managers, and key individuals. In return, you will have the opportunity to contribute to a high-scale, complex, world-renowned product, experience a fast-paced and performance-driven culture, and benefit from career advancement opportunities through training, hackathons, conferences, and community participation. We offer competitive compensation, benefits, and additional perks of working in the home city of Booking.com. At Booking.com, we value diversity and maintain an open, dynamic workplace. Diversity has been a core value since our inception, and we continue to strongly believe in and build upon it today.,

As a Senior Data Scientist at Zinnia, you will be a vital member of our team, playing a key role in developing cutting-edge solutions to drive the growth of life and annuities products. Your expertise in machine learning and forecasting will be instrumental in influencing decision-makers and shaping the future of our business. In this high-impact role, you will independently own and build forecasting models, working closely with stakeholders from Product, Data Engineering & Analytics, and Business Strategy. By leveraging data from various sources, you will provide valuable insights and develop new data-driven tools to enhance customer experiences and streamline internal processes. Your responsibilities will include developing machine learning applications using Python, implementing supervised and unsupervised models such as random forest, gradient boosting, and support vector machines. You will also work on advanced modeling techniques like reinforcement learning and neural networks to deliver prescriptive insights and automated decision-making capabilities. Moreover, you will collaborate with data engineering teams to ensure the quality of data, conduct experiments to measure model impact, and manage training pipelines effectively. Your role will involve translating complex business problems into actionable data science projects and deploying models to production infrastructure. As a mentor and collaborator, you will work with other data scientists and data analysts to foster a culture of learning and innovation within the team. Additionally, you will partner with marketing teams to conceptualize applications that drive company growth and strategy, connecting machine learning solutions with business needs. To excel in this role, you should have a minimum of 5 years of experience in building and validating machine learning models in Python. Your expertise should cover a range of model techniques including supervised and unsupervised learning, as well as advanced techniques like neural networks and natural language modeling. Experience with relational cloud databases and unstructured datasets will also be crucial for success in this position. If you are a highly motivated individual with a passion for data science, a drive to solve complex business challenges, and a desire to make a significant impact in the insurance industry, we invite you to join us at Zinnia and be part of our mission to protect financial futures through innovation and data-driven insights.,

As a Fullstack Python Developer specializing in FastAPI, React, and Generative AI, you will play a crucial role in developing scalable web applications, intelligent APIs, and AI-powered user experiences. Your responsibilities will span from backend development using Python and FastAPI to frontend development with React. Additionally, you will integrate Generative AI models to enhance the functionality of the applications you build. Your key responsibilities will include developing and maintaining RESTful APIs with FastAPI, implementing microservices architecture, and integrating GenAI models such as OpenAI, Hugging Face, and Stability AI. On the frontend side, you will work on creating responsive and dynamic user interfaces using React or Next.js, ensuring seamless integration with backend services and GenAI outputs. In terms of Generative AI integration, you will implement features like text summarization, intelligent search, and image generation. You will also work with vector databases like Pinecone and Qdrant, optimizing prompt engineering and model interaction for performance and accuracy. Furthermore, you will be involved in DevOps and Infrastructure tasks, including containerizing applications using Docker and deploying them via Kubernetes or cloud platforms. You will also set up CI/CD pipelines and monitor system performance and reliability. To excel in this role, you should have at least 4 years of experience in fullstack development and a strong proficiency in Python, FastAPI, and ReactJS. Experience with GenAI tools and APIs such as LangChain, Hugging Face, and OpenAI is essential. Familiarity with technologies like Redis, RabbitMQ, Docker, and cloud services (AWS/GCP) is also required. An understanding of RESTful APIs, async processing, and vector search will be beneficial. Additionally, bonus skills include experience with multimodal GenAI (text, image, audio), knowledge of prompt engineering and model fine-tuning, and contributions to open-source AI or fullstack projects.,

As a Data Engineer with expertise in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML), you will play a crucial role in designing, implementing, and maintaining data pipelines, workflows, and automation solutions at Sundew, a leading digital transformation company. With a 17-year legacy of excellence, Sundew focuses on helping businesses leverage data-driven insights to drive innovation and optimize operations. In this role, you will be responsible for developing and fine-tuning LLM models with a focus on RAG (Retrieval-Augmented Generation) and implementing content extraction methods to enhance the accuracy and relevance of generated responses. Collaboration with cross-functional teams to address LLM development and deployment challenges will also be a key aspect of your responsibilities. Your role will involve staying updated with the latest advancements in natural language processing (NLP) and machine learning research, providing technical guidance and mentorship to junior team members, and contributing to documenting best practices in LLM development and deployment. Additionally, you will implement RPA solutions to automate repetitive tasks, collaborate with data scientists and business analysts to translate data requirements into technical solutions, and monitor and optimize data workflows for scalability and reliability. The ideal candidate should hold a Bachelor's or higher degree in Computer Science, Engineering, or a related field, with proven experience in developing LLM models, preferably focusing on RAG. Hands-on experience with RPA tools like UiPath, Automation Anywhere, or Blue Prism, as well as strong proficiency in Python programming and knowledge of relevant libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn, are essential. Additionally, a solid understanding of NLP fundamentals, machine learning principles, and content extraction techniques like Named Entity Recognition (NER) and text summarization is required. Furthermore, experience with cloud platforms (AWS, Azure, Google Cloud), prior knowledge in implementing RPA and AI/ML methods, certifications in RPA or AI/ML technologies, and contributions to open-source projects related to NLP or ML are preferred qualifications. Strong problem-solving skills, effective communication abilities, and the capacity to work collaboratively in a team environment are also key attributes for success in this role. If you are interested in this position, please submit your resume and a cover letter detailing your relevant experience and how you meet the specified requirements. Sundew is an equal opportunity employer, and candidates from all backgrounds are encouraged to apply.,

You are a Data Engineer with 3+ years of experience, specializing in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML). Joining Sundew, a digital transformation company, you will be instrumental in designing, implementing, and maintaining data pipelines, workflows, and automation solutions. Your responsibilities will include developing and optimizing LLM models utilizing cutting-edge techniques like RAG (Retrieval-Augmented Generation) and implementing content extraction methods to enhance response accuracy. Collaborating with cross-functional teams, you will address challenges in LLM development and deployment, staying abreast of NLP and ML research advancements. Providing technical guidance to junior members, you will document best practices, automate tasks with RPA solutions, and collaborate with data scientists and analysts to translate data requirements into technical solutions. Monitoring performance, troubleshooting issues, and optimizing data workflows will be key for scalability and reliability. Prior experience with RPA tools, Python programming, NLP fundamentals, and machine learning principles is essential. To excel in this role, you should possess a Bachelor's or higher degree in Computer Science, Engineering, or a related field, along with proven experience in developing LLM models with a focus on RAG. Proficiency in Python programming, RPA tools like UiPath, Automation Anywhere, and knowledge of libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn is crucial. Strong problem-solving skills, effective communication, and the ability to work collaboratively are essential. Preferred qualifications include experience with cloud platforms, certification in RPA or AI/ML technologies, contributions to open-source projects, and knowledge of big data technologies. If you meet these requirements and are excited about this opportunity, please submit your resume and a cover letter elaborating on your relevant experience. Sundew is an equal opportunity employer, welcoming candidates from all backgrounds to apply.,

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are seeking a highly motivated Senior Data Scientist with strong technical expertise, business acumen, and strategic problem-solving abilities . In this role, you will independently own and build forecasting models. You will work closely with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities to resolve business problems. This is a high-impact individual contributor role. What Youll Do Work in a dynamic and innovative company to develop cutting-edge solutions. Perform advanced data analytics to influence decision makers. Leverage data from diverse sources to provide insights and build new data driven tools. Partner with engineering teams to continuously improve our data quality. Develop machine learning based applications using supervised and unsupervised models using Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Develop and support models to enable things such as prescriptive insights, automated decisioning, and insights. Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines. Work with stakeholders to intake complicated business problems and translate them into solvable data science projects. Partner with data engineering to take your model from development to deployed infrastructure. Brainstorm future use cases and contribute to the learning culture of the data science team. Partner with and mentor other data scientists and data analysts. Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy. You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation. What Youll Need You have Data Science experience building and validating machine learning and forecasting models in Python for a minimum of 5 years. You love performing advanced analytics to find insights and patterns. You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means and hierarchical clustering, causal models, mixture models and experience in advanced modeling techniques such as reinforcement learning, neural networks, and natural language modeling. You have experience in delivering natural language projects utilizing techniques such as text summarization, topic modeling, entity extraction, semantic encoding, and valence analysis You have experience working in an agile business setting. You have experience with relational cloud databases like BigQuery and Snowflake and are comfortable working with unstructured datasets such as unstructured text. WHATS IN IT FOR YOU At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Show more Show less

As a Senior Data Scientist with expertise in Deep Learning and NLP, you will be responsible for researching, designing, and developing core Artificial Intelligence (AI) and Machine Learning (ML) algorithms. Your essential skills will include working experience with various AI frameworks, such as CRFs, BERT/Transformers, and text summarization models. You should have past experience in Entity Detection and Disambiguation, Intent Detection, and deploying machine learning models in a production environment using tools like TensorFlow Serving. Your role will involve collaborating with functional domain experts, implementation teams, and AI backend teams to ensure efficient product development, production release, and development cycles. It is crucial to stay updated with the latest AI developments, including training libraries/frameworks, Reinforcement Learning, and Deep Learning, by reading and researching state-of-the-art papers in NLU problems. You will work with large datasets of support tickets and unstructured data sources, building Deep Learning models in TensorFlow for GPUs and CPUs. Additionally, collaborating with Backend Engineers to deploy your models to production will be part of your responsibilities. Your background should include a Bachelor's degree in B.E/B.Tech, with a strong industry focus on IT/Computers-Software. You must possess a good understanding of Transfer Learning concepts, Question-Answering Framework, and have experience in building production-ready NLP systems. Familiarity with Distributed systems like Docker, Kubernetes, and Azure, as well as working knowledge of Linux OS, will be beneficial for this role. If you have the passion and skills to work on cutting-edge AI technologies, this Senior Data Scientist position offers a challenging opportunity to contribute to the development of innovative NLP systems in a dynamic environment.,

As an experienced Primary Market Research (PMR) leader, your role will involve leading high-impact global research engagements, mentoring teams, and partnering with Data Science & AI experts to modernize insights generation using traditional qualitative and quantitative research methods alongside AI/ML and Generative AI applications. You will be responsible for executing end-to-end PMR projects across therapy areas and geographies, utilizing both traditional methodologies and AI-enhanced techniques to improve study design, analysis, and storytelling. Your key responsibilities will include applying Generative AI tools to accelerate insight synthesis and automate reporting, guiding the integration of machine learning models for survey optimization, and collaborating closely with clients and internal stakeholders to deliver insights aligned with business strategy. Additionally, you will manage and mentor a team of market researchers, maintain strong vendor relationships, and demonstrate storytelling excellence through data-driven narratives that influence strategic decision-making. To excel in this role, you should have at least 15 years of experience in healthcare/life sciences primary market research, with a proven ability to lead multi-country, multi-method projects. Strong knowledge of qualitative and quantitative methodologies is essential, and exposure to tools such as Qualtrics, SPSS, R, or Python is advantageous. Hands-on experience with AI/GenAI platforms for text summarization, sentiment analysis, and automated reporting is desired, along with a passion for exploring emerging technologies in research workflows. Preferred qualifications include a Master's degree in Life Sciences, Market Research, Business Analytics, or related fields, as well as certification or exposure to AI/ML in market research or marketing analytics. Familiarity with healthcare compliance, pharma regulations, and therapy-specific dynamics will be beneficial for this role. Excellent interpersonal, presentation, and client engagement skills, strong project management abilities, and the capacity to thrive in a fast-paced, deadline-driven environment are also key attributes for success in this position.,

Sundew is a leading digital transformation company with a 17-year legacy of excellence that helps businesses leverage data-driven insights to drive innovation and optimize operations. We are seeking a talented Data Engineer with expertise in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML) to join our dynamic team. As a Data Engineer with RPA and AI/ML expertise, you will play a crucial role in designing, implementing, and maintaining data pipelines, workflows, and automation solutions. Your responsibilities will include developing and fine-tuning LLM models with expertise in RAG (Retrieval-Augmented Generation), content extraction, and familiarity with the concept of local LLMs. Additionally, you will collaborate closely with our Data Engineering team to innovate and optimize LLM models and work with cross-functional teams to integrate RPA infrastructure, enabling clients to automate existing processes. Role & Responsibilities - Develop and optimize LLM models using state-of-the-art techniques, focusing on RAG (Retrieval-Augmented Generation). - Implement content extraction methods to enhance the accuracy and relevance of generated responses. - Collaborate with cross-functional teams to identify and address LLM development and deployment challenges. - Stay updated with the latest advancements in natural language processing (NLP) and machine learning research. - Provide technical guidance and mentorship to junior team members. - Contribute to documenting and disseminating best practices in LLM development and deployment. - Implement RPA solutions to automate repetitive tasks and improve operational efficiency. - Collaborate with data scientists and business analysts to understand data requirements and translate them into technical solutions. - Monitor performance, troubleshoot issues, and optimize data workflows for scalability and reliability. - Stay up-to-date with the latest trends and technologies in data engineering, RPA, and AI/ML. Required Skill Sets - Bachelor's or higher degree in Computer Science, Engineering, or a related field. - Proven experience in developing and fine-tuning LLM models, preferably with a focus on RAG. - Hands-on experience with RPA tools such as UiPath, Automation Anywhere, Blue Prism, Power Automate. - Strong proficiency in Python programming and familiarity with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn. - Solid understanding of natural language processing (NLP) fundamentals and machine learning principles. - Experience with content extraction techniques such as Named Entity Recognition (NER), text summarization, and information retrieval. - Familiarity with the concept of local LLMs and their applications in specific domains or languages. - Excellent problem-solving skills and the ability to work effectively in a collaborative team environment. - Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Prior working knowledge in implementing RPA and AI/ML Methods. - Certification in RPA or AI/ML technologies. - Contributions to open-source projects related to natural language processing or machine learning. - Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka). How To Apply Interested candidates should submit their resume and a cover letter detailing their relevant experience and explaining how they meet the specified requirements. Sundew is an equal opportunity employer. We encourage candidates of all backgrounds to apply.,

Job Description: Dreaming big is in our DNA. It's who we are as a company, our culture, our heritage, and more than ever, our future. A future where we're always looking forward, serving up new ways to meet life's moments, and where we keep dreaming bigger. We look for individuals with passion, talent, and curiosity and provide them with teammates, resources, and opportunities to unleash their full potential. The power we create together, when we combine your strengths with ours, is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC, incorporated in 2014 as a strategic partner for Anheuser-Busch InBev, leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do you dream big We need you. Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of Role: - Understand and solve complex business problems with sound analytical prowess to provide impactful insights in decision-making. - Ensure any implementation roadblocks are communicated to the Analytics Manager to prevent project timeline delays. - Document every aspect of the project in a standard way for future reference. - Articulate technical complexities to senior leadership in a simple and easy-to-understand manner. Key Tasks and Accountabilities: - Understand business problems and collaborate with stakeholders to translate them into data-driven analytical/statistical problems during the solution-building process. - Create appropriate datasets and develop statistical data models. - Translate complex statistical analyses over large datasets into insights and actionable steps. - Analyze results and present findings to stakeholders. - Communicate insights using business-friendly presentations. - Mentor other Data Scientists/Associate Data Scientists. - Build a project pipeline in Databricks that is production-ready. - Develop dashboards (preferably in Power BI) for easy consumption of solutions. Qualifications, Experience, Skills: - Level of Educational Attainment Required: Bachelor's/Master's Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative discipline. - Previous Work Experience: Minimum 4-6 years in a data science role, building, implementing, and operationalizing end-to-end solutions. - Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering, etc. - Exposure to optimization and simulation techniques (good to have). - Expertise in building NLP-based language models, sentiment analysis, text summarization, and Named Entity Recognition. - Proven skills in translating statistics into insights, with sound knowledge in statistical inference and hypothesis testing. - Mandatory: Microsoft Office, Expert in Python, Advanced Excel. - An undying love for beer!,