246 Text Analytics Jobs - Page 3

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*

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,lstm,machine learning,bert,gpm,deep learning,machine learning algorithms,algorithms,information extraction,python,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 Skillsnatural language processing,BERT,GPT,LSTMs,machine learning,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.Keywordsnatural language processing,machine learning,deep learning,machine learning algorithms,tensorflow,keras,artificial intelligence,Data Science Mandatory Key Skills natural language processing,machine learning,deep learning,machine learning ...

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 Skills natural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,data science,tensorflow,keras,artificial intelligence,NLP mode...

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 Skills natural language processing,lstm,machine learning,bert,gpm,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,tensorflow,keras,artificial intelligence,Data Sc...

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 Skills natural language processing,machine learning,deep learning,machine learning algorithms,artificial intelligence,Data Science.

Job Description 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. Keywordsnatural language processing,BERT,GPT,LSTMs,machine learning,Data Science*

Job DescriptionKey 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.Keywordsnatural language processing,lstm,machine learning,bert,gpm,deep learning,machine learning algorithms,algorithms,information extraction,python,tensorflow,keras,artificial intelligence,Data Science*

Job DescriptionKey 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.Keywordsmachine learning,artificial intelligence,mentoring,python,deep learning,natural language processing,Data Science*

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...

As an Advanced Analytics Senior Manager at our company, you will play a crucial role in setting the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market, and ensuring an integrated response to people-based marketing objectives. Your responsibilities will include: - Developing, implementing, and maintaining advanced analytical models using machine learning algorithms and GenAI applications. - Utilizing various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. - Collaborating with cross-functional teams to identify business needs and deliver data-driven solutions. - Creating visua...

As a Senior Gen AI Developer at VARITE INDIA PRIVATE LIMITED, you will be responsible for developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Your role will involve utilizing advanced statistical techniques and concepts, as well as having deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. **Key Responsibilities:** - Architect high-impact GenAI solutions for diverse clients with exposure to agents/agentic rag and integration with biz systems - Design enterprise scale solutions including multithreading on vector db and integration with LLM - Stay updated on emerging tech and busi...

Educational Requirements Bachelor of Engineering,Bachelor Of Comp. Applications,Bachelor Of Technology Service Line Platforms & Services Unit Responsibilities Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency. Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related areas. Data Analysis and Insights: Analyze large datasets to extract actionable insights and support data-driven decision-making. Collaborate with Teams: Work closely with product owners, data scientists, and engineers to integrate AI solutions into pla...

As a Pega CDH Architect, you will be responsible for owning the design, development, delivery, and support of Case Management and NBX applications. Your role will involve planning, designing, implementing, and continuously improving Pega decisioning projects to meet evolving client business needs and industry standards. Your contributions will drive bookings growth and customer success through technical leadership within business teams, providing thought leadership to team members, and building business processes based on identified requirements and use cases. Key Responsibilities: - Drive best practices among development teams and promote collaboration and knowledge sharing - Lead the imple...

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 ...

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 Summary: We are seeking a skilled NLP (Natural Language Processing) Engineer to design, develop, and deploy NLP models and applications. The ideal candidate will have strong expertise in linguistics, machine learning, and deep learning techniques to build systems that understand, interpret, and generate human language effectively. Key Responsibilities: Develop and implement NLP algorithms and models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, summarization, and question answering. Preprocess and analyze large datasets of text and speech data. Design, train, and fine-tune deep learning models (e.g., transformers, RNNs, CNNs) us...

As a Senior Data Scientist in the Data & Analytics department, your expertise in machine learning and statistics will be utilized to derive valuable insights from data. Your responsibilities will include developing predictive models, interpreting data, and collaborating closely with ML engineers to ensure the effective deployment and functioning of these models. Key Responsibilities: - Lead cross-functional teams in designing, developing, and deploying Generative AI solutions, focusing on Large Language Models (LLMs). - Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, aligning with project goals. - Deploy and scale LLM-based solut...

Job Summary: The Data Science Manager will lead teams in designing and implementing advanced analytics and AI solutions for clients across industries. The role involves managing a team of data scientists, collaborating with business and technology stakeholders, and delivering insights that drive strategic decision-making. The candidate will work on data-driven initiatives spanning predictive modeling, machine learning, and AI-enabled solutions. Key Responsibilities: Lead and mentor a team of data scientists, analysts, and ML engineers . Drive end-to-end data science projects including problem definition, data collection, model development, and deployment. Collaborate with clients and interna...