585 Lstm Jobs - Page 2

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 Implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. Design and develop ML/NLP models as per the requirement. Work closely with the Product Owner, Sys...

About Us Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay e...

ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay ...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be pa...

AI/ML Engineer Location: Remote - Pan India Work Hours: 12 PM – 9 PM IST (US overlap) Experience: 8+ Years (Minimum 7+ Years Hands-on in AI/ML) Job Description We are looking for a Senior AI/ML Engineer with strong hands-on coding experience in Python and deep understanding of ML algorithms and GenAI systems . This is an individual contributor role focused on building and deploying production-grade AI/ML pipelines , including RAG, LangChain, LangGraph, and Agentic AI workflows . This is a niche position focused on building next-generation AI/ML solutions within Clinical R&D and other strategic initiatives. Key Responsibilities Build, optimize, and deploy end-to-end ML and GenAI solutions for...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be pa...

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*

Responsibilities Roles & Responsibilities Conduct original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. Build Proof of Concepts (POCs) with emerging AI innovations and assess their feasibility for production. Design and experiment with multimodal generative models (text, images, audio, and other modalities). Develop autonomous, agent-based AI systems (agentic AI) capable of adaptive decision-making. Lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimize AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed s...

As an AVP - Data Science at GenAI, you will be responsible for driving advanced analytics opportunities in the BFSI sector. Your role will involve leading end-to-end project delivery, stakeholder engagement, and team management to deliver high-impact solutions for Indian clients. **Key Responsibilities:** - Build strong partnerships with BFSI clients and channel partners - Communicate methodologies effectively to drive stakeholder confidence - Scope, plan, and deliver end-to-end analytics projects - Design and deploy high-impact data science and GenAI models - Mentor, coach, and upskill junior data scientists - Ensure adherence to SOPs, documentation, and governance frameworks **Qualificatio...

Role description Your responsibilities as a Data Science Specialist You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering stateoftheart solutions for ML pipelining deployment and integration with the backend product Your role is needed to ensure efficient architecture and lowlevel design of deep learningbased solutions and highquality deliverables with focus on innovation scientific research experimentation and optimal design A successful candidate will have strong analytical skills be passionate towards resolving complex problems building scalable and stable solutions and open for technical challenges The...

As a Gen AI Data Scientist, you will be responsible for leveraging your prior analytics and data science experience to drive projects involving AI and Advanced Analytics. Your strong experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, and Neural network will be essential for the success of these projects. Additionally, your in-depth understanding and hands-on experience in working with Large Language Models, along with exposure in fine-tuning open source models for a variety of use cases, will be crucial. Key Responsibilities: - Utilize your strong exposure in prompt engineering, knowledge of vector database, langchain framework, and data embeddings to enhanc...

As a Data Scientist at our company, you will be responsible for leveraging your expertise in predictive modeling, time-series forecasting, and scenario analysis to drive data-driven decisions in the media and finance domains. Your role will involve a combination of advanced technical proficiency and the ability to translate analytical insights into strategic business outcomes. Key Responsibilities: - Design and implement forecasting and predictive models using statistical and machine learning techniques such as ARIMA, Prophet, XGBoost, and LSTM. - Build and validate scenario and what-if simulation models, applying explainable AI methods like SHAP and feature importance. - Develop end-to-end ...

Role Overview: You are required to be an NLP developer with strong skills in Python. You should have experience in solving core problems and developing algorithms from scratch. It is essential that you are able to seamlessly join ongoing projects and understand existing codes and algorithms. Your expertise should cover NLP application areas such as Sentiment Analysis, Document Classification, Question-Answer Matching, Text Summarization, and Topic Modeling. Additionally, you must have trained and deployed at least one ML/DL model for the NLP domain. Experience in web scraping will be advantageous. Strong interpersonal and communication skills are necessary for this role. Key Responsibilities...