215 Text Analytics Jobs

Hiring Data Scientists for FORD (C2H / Remote). Build scalable AI/ML models, automate data transformation, and develop GenAI-based accelerators. Must have strong Python, NLP & GCP experience. Immediate joiners preferred. Required Candidate profile Exp AI/ML professional with 3+ years in Generative AI, NLP, and cloud data solutions. Skilled in Python, BigQuery, and Vertex AI. Strong analytical, problem-solving, and collaborative abilities.

You will be joining as a Senior Gen AI Developer with immediate availability and working in a hybrid mode in Bangalore. Your primary role will involve developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will also be required to apply advanced statistical techniques and have a deep understanding of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Your responsibilities will include: - Architecting high-impact GenAI solutions for diverse clients - Demonstrating experience in projects with agents/agentic rag and integration with business systems - Designing enterprise-scale solutions inc...

You will be responsible for designing and implementing Conversational AI solutions using Google DialogflowCX with Python and SQL. Your key responsibilities will include: - Proficient in Google DialogflowCX, Playbook, Genesys Cloud CX, Conversational AI, Chat Bot Development, NLP, Text Analytics, Python, and SQL. - Demonstrated experience in Data Science, Machine Learning, and Gen AI. - Possess good client handling skills and able to showcase thought leadership and problem-solving abilities. No additional details about the company were mentioned in the job description.,

Work with business, product, and engineering teams to frame problem statements and design AI/ML-driven solutions that deliver measurable outcomes. Execute end-to-end AI/ML projects, from data exploration and model development to validation, deployment, and monitoring. Build and optimize models in areas such as machine learning, NLP, and Generative AI, ensuring they are production-ready and scalable. Collaborate with data engineers and platform teams to ensure reliable data pipelines, reproducibility, and automation in ML workflows. Apply best practices in model development, CI/CD, and performance tracking. Communicate findings and technical outputs through clear visualizations, reports, and ...

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,"collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow."Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of c...

About The Role Job Title - S&C GN - Conversational AI Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Google DialogflowCX with Python, SQL. Good to have skills:Data Science, Machine Learning, GenAI Professional & Technical Skills: Proficiency and hands on experience on Google DialogflowCX, Playbook, Genesys Cloud CX , Conversational AI , Chat Bot Development, NLP, Text Analytics, Python, SQL. Proven experience in Data science, machine learning, Gen AI is a good to have skill. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Good Client handling skills; able to demonstrate thought leadership & problem-solvin...

As a Data Scientist at Hakimo, you will help us transform and surface all of this data in the most intelligible and impressive ways to the end-user so that they can make the best use of our platform. Responsibilities Manage ETL pipelines from SQL database to the data warehouse Build anomaly detection algorithms for certain physical security use-cases Build visualizations, dashboards and reports using Tableau and other tools Communicate and gather requirements from customers on their reporting needs and implement them as needed Incorporate feedback from customers on Hakimo Insights dashboards Qualifications 3+ years of professional experience as a data scientist or related role Strong knowled...

Your role and responsibilities 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 requ...

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 ...

About The Role TBD Qualification TBD

About The Role Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 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 ...

About the Role: We are looking for a Natural Language Processing (NLP) Engineer to design, develop, and implement state-of-the-art NLP solutions that power our AI-driven products and services. You will work closely with data scientists, ML engineers, and product teams to build intelligent systems that understand, generate, and analyze human language at scale. Key Responsibilities: Design, implement, and optimize NLP models and algorithms for text analysis, classification, sentiment detection, summarization, question answering, chatbots, and other language tasks. Preprocess and analyze large-scale text data from diverse sources. Develop and maintain end-to-end NLP pipelines , including data c...

In your role as Director, Customer Support Operations, you will lead the customer support operations in India. Your 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. - Manage the daily operations of customer support and quality assurance teams, including hiring, training, and development - Implement standard operating procedures and quality frameworks for consistent service delivery - Lead the adoption and utilization of support systems and tools, including the omnichannel platform and quality monitoring solutions - Develop and monitor key performance indicator...

Your role and responsibilities An AI Data Scientist at IBM is not just a job title - its a mindset. Youll 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 requirem...

Role & responsibilities: A "Pricing & Revenue Growth Consultant" advise to build a pricing and promotion tool for CPG client which would have pricing strategies, trade promotions, and revenue growth initiatives. This will involve building analytics and machine learning models for price elasticity, promotion effectiveness, and trade promotion optimization. Consultant would require collaborating with CPG business, marketing, data scientist and other teams for a successful delivery of project and tool. Required Skills: Business Domain Skills: Trade Promotion Management (TPM) , Trade Promotion Optimization (TPO), Trade Spend Efficiency Promotion Depth, Frequency, Forecasting, Scenario and Effect...

Role Overview: As a Life Sciences AI Solution Architect, you will be responsible for designing and architecting end-to-end AI/ML solutions for pharma/biotech use cases. You will apply MLOps methodologies for efficient model development, deployment, and monitoring, while leveraging Cognitive AI techniques such as NLP, Computer Vision, Speech, and Conversational AI. Your role will involve developing and implementing Document AI and Generative AI solutions, ensuring seamless integration of AI solutions into cloud platforms, and delivering and maintaining production-grade ML systems with high scalability and reliability. Additionally, you will provide technical leadership and mentorship to AI/ML...

As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques Development, optimization and evaluating as well as deploying them into production environments would be the key aspects of your role You will have to collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems Responsibilities: Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets Design rigorous testing frameworks to ev...

Demonstrated understanding and experience in applying traditional statistical, machine learning, deep learning, NLP to address business problems Experience in leading customer expectation, project planning , execution and project closure Experience in Python, SQL Good ability to handle large volumes of data independently Able to explain statistical and NLP concept in user friendly manner Using effective visualization for conveying the stats model results The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion A suitable candidate should have 5-8 years of experience in a similar role and should possess a go -ge...

Bachelor Degree Manage team and take corrective steps when necessary. Client interaction where required at level of supervisor Handle escalations Provides inputs on process and system to team member

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...

Job Summary: We are looking for a skilled NLP Engineer to design, develop, and deploy NLP models and applications. You will work closely with data scientists, software engineers, and product teams to build scalable, high-performance NLP solutions that address complex language-related challenges. Key Responsibilities: Develop and implement NLP algorithms and models for tasks such as text classification, entity recognition, sentiment analysis, machine translation, and language generation. Preprocess and analyze large datasets including text cleaning, tokenization, and feature extraction. Train, evaluate, and optimize machine learning models for NLP applications. Integrate NLP models into produ...

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,data science,tensorflow,keras,artificial intelligence,NLP model...

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,BERT,GPT,LSTM,NLP*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,machine learning algorithms,information extraction,tensorflow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key SkillsNLP,machine learning,bert,gpm,deep learning,text analytics,sentiment analysis,machine learning algorithms,information extraction,python,TensorFlow,keras,artificial intelligence,Data Science*