215 Text Analytics Jobs - Page 5

About The Role Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 ...

Role: Senior AI Architect - Looking for early Joiners Key Responsibilities: Create Architecture using latest Ai frameworks along with Design, develop, and deploy AI models tailored to specific project requirements, including Cognitive AI techniques such as NLP, Computer vision, Speech & Conversational AI. Good understanding of Document AI development processes, models, and applications. Good to have knowledge of Generative AI Models & applications. Experience delivering and maintaining productionized end-to-end Machine Learning solutions, form data preparation, experimentation, model training, model serving, and model update. Utilize MLOps methodologies to streamline the development, deploym...

As a Senior Data Analyst at our company, your role will involve using automated tools to extract data from primary and secondary sources. You will be responsible for removing corrupted data, fixing coding errors, and developing databases to reorganize data in a readable format. Your analysis skills will be crucial in assessing the quality and meaning of data, filtering data by reviewing reports and performance indicators, and using statistical tools to identify patterns and trends in complex data sets. Additionally, you will assign numerical value to essential business functions, analyze local, national, and global trends, and prepare reports for management regarding trends, patterns, and pr...

An AI Data Scientist at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI sol...

Job Description We are looking for a Gen AI Developer with 7-13 years of hands-on experience in designing, developing, and implementing artificial intelligence and Gen AI solutions across various domains. You will collaborate with cross-functional teams to create robust and scalable Gen AI applications that meet business objectives. Bachelors degree or Masters in computer science, mathematics, or related field. Leverage LLMs and General AI for developing innovative solutions. Apply prompt engineering techniques to enhance the performance of AI applications. Utilize ChatGPT for developing conversational AI and natural language processing solutions. 5+ years of experience in statistical progra...

Your Role Gen AI Developer with 5+ years of hands-on experience in designing, developing, and implementing artificial intelligence and Gen AI solutions across various domains. You will collaborate with cross-functional teams to create robust and scalable Gen AI applications that meet business objectives. Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence. Experience working in at least one cloud environment (AWS/Azure/GCP) and model deployment, orchestration, containerization (Kubernetes). Knowledge of the application of AI technologies for automation such as natural language processing, virtual agen...

Role Overview: As a Senior Manager for data science, data modeling, and Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Key Responsibilities: - Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. - Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. - Understand end-to-end data pipelines, including data collection,...

You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Your primary responsibilities will include: Proof of Concept (POC) DevelopmentDevelop POCs to validate and highlight the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communica...

As an I&F Decision Sci Practitioner Specialist at Accenture, you will be responsible for utilizing your 7 to 11 years of experience to provide insights on the effectiveness of HR processes. Your role will involve analyzing data to make data-driven decisions that support HR in transitioning from an operational to a strategic partner. Your tasks will include conducting HR Analytics and Text Analytics using Python, demonstrating adaptability and flexibility, and collaborating effectively within a team. You will be expected to prioritize work efficiently, demonstrate a commitment to quality, and possess the agility to learn quickly. In this position, you will tackle moderately complex problems, ...

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project Manage...

About The Role TBD Qualification TBD

An AI Data Scientist at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI sol...

You should have knowledge of Gen AI technology ecosystem including top tier LLMs, prompt engineering, development frameworks like LLMaxindex and LangChain, LLM fine tuning, and experience in architecting RAGs and other LLM-based solutions for enterprise use cases. You must possess strong proficiency in programming languages such as Python and SQL. Additionally, you should have at least 3+ years of experience in predictive/prescriptive analytics, including Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks like Regression, classification, ensemble model, RNN, LSTM, GRU. Experience of 2+ years in NLP, Text analytics, Document AI,...

We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. Key Responsibilities: Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value. Lead and execute end-to-end AI/ML proj...

Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value. Lead and execute end-to-end AI/ML projects from data exploration and model development to validation, deployment, and monitoring in production. Drive solution architecture using advanced techniques in machine learning, NLP, Generative AI, and statistical modeling. Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking. Guide junior and associate AI/ML scientists through technical mentoring, code reviews, and ...

Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value. Lead and execute end-to-end AI/ML projects from data exploration and model development to validation, deployment, and monitoring in production. Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI. Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking. Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and s...

AI/ML Scientist Key responsibilities: Collaborate with business, platform and technology stakeholders to understand the scope of projects. Perform comprehensive exploratory data analysis at various levels of granularity of data to derive inferences for further solutioning / experimentation / evaluation. Design, develop and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, etc. Continuously focus on providing business value while ensuring technical sustainability. Promote and drive adoption of cutting-edge data science and AI practices within the team. Continuously stay up to date on relevant technologies and use this knowledge to push the team forward. We are ...

AI/ML Engineer Key responsibilities: Collaborate with business, platform and technology stakeholders to understand the scope of projects. Perform comprehensive exploratory data analysis at various levels of granularity of data to derive inferences for further solutioning / experimentation / evaluation. Design, develop and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, etc. Continuously focus on providing business value while ensuring technical sustainability. Promote and drive adoption of cutting-edge data science and AI practices within the team. Continuously stay up to date on relevant technologies and use this knowledge to push the team forward. We are l...

Should have 10-15 years’ hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Expected to contribute to opportunity analysis, building project proposals, designing, implementation and execution across variety of ML projects in the areas of Predictive Modelling, Forecasting and Optimization Should have 5-10 years’ of experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Manage data science work streams and eventually build a team of data scientists, ML experts and data ...

We are seeking a detail-oriented and research-driven Associate to review and edit audio transcripts of recorded interviews with influential buyers of financial services (Buy side ). You will play a critical role in transforming raw textual data from survey responses into structured information. You will be gathering relevant color/ information from the transcripts with a focus on messages that are of interest to our sell side clients. This opportunity will provide you with solid insights into the financial world as you get to hear from the influential decision makers on the Buy side. You will also act as a reviewer to verify GenAI outputs and correct incomplete, inaccurate, or mismatched res...

In your role as the Director, Customer Support Operations at our company, you will be responsible for leading the customer support operations in India. Your primary focus will be on the day-to-day management of the support function, implementing processes and systems, and ensuring high-quality service delivery while optimizing operational costs. The Student Advocacy Team (SAT) is a B2C support organization within our company that aims to provide the best customer care to Chegg customers when our products or services do not meet their expectations. We prioritize quality, transparency, simplicity, and convenience to offer help when and where needed. Your responsibilities will include managing ...

As an AI Developer specializing in Agentic AI, you will be responsible for designing, developing, and deploying Agentic AI systems that exhibit autonomous task execution capabilities through the integration of reasoning, memory, and tool use. Your role will involve architecting intelligent agents that can dynamically interact with APIs, data sources, and third-party tools to achieve diverse objectives with minimal human intervention. It will also be essential to optimize the performance of agentic frameworks by enhancing model accuracy, minimizing response latency, and ensuring scalability and reliability in real-world applications. Collaborating with cross-functional teams, including produc...

As an Associate Manager - Senior Data Scientist at our company, you will have the opportunity to tackle some of the most significant business challenges faced by our clients by leveraging a variety of AI and ML technologies. Your role will involve close collaboration with business partners and subject matter experts to conceptualize and implement innovative solutions leveraging data to achieve predefined objectives. Engaging with clients to gain a deep understanding of their current and future business objectives and translating these into analytical frameworks will be a key aspect of your responsibilities. You will be tasked with developing customized models based on a thorough comprehensio...

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will utilize Design thinking and a consultative approach to conceive cutting-edge technology solutions for business problems, mining core Insights as a service model. You will engage with project activities across the Information lifecycle, understanding client requirements and developing data analytics strategy and solutions that meet client needs. It is essential to apply knowledge and...

The Community You Will Join: In 2-4 sentences Include insight to the working environment: About the team Key cross-functional partners The Difference You Will Make: 2-3 sentences Describe the role the individual will be doing (active voice) Identify what success looks like in the role, including measurable outcomes Include relevant internal artifacts: Link to team’s one.airbnb page for insights on team structure and sub-teams Project descriptions, relevant project plans, prioritization or business strategy documents, quarterly goals, team/function roadmaps A Typical Day: 4-6 bullet points Be specific & identify the tasks necessary to accomplish the outcomes and measures of success mentioned ...