98 Sentiment Analysis Jobs

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 algorithms,tensorflow,keras,artificial intelligence,Data Science*

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

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. 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 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,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 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,sentiment analysis,machine learning algorithms,algorithms,information extraction,python,data science,tensorflow,keras,artificial intelligence,NLP modelling*

**Role Overview:** As an AI Model Developer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms and models, with a focus on NLP, Generative AI, and other AI technologies. You will stay updated with the latest advancements in machine learning and artificial intelligence, conducting research to identify new techniques and approaches to enhance AI solutions. Analyzing large and complex datasets to extract meaningful insights using statistical analysis and machine learning techniques will be a key part of your role. **Key Responsibilities:** - Collaborate with cross-functional teams, including software engineers and data scientists, to effectively integrate machine learning models into applications and systems. - Optimize machine learning algorithms for performance, scalability, and efficiency, identifying and resolving bottlenecks for smooth execution. - Evaluate the performance of machine learning models using appropriate metrics, ensuring accuracy and reliability through rigorous testing and validation. - Document the development process, algorithms, and models, preparing clear and concise technical documentation for reference and knowledge sharing. - Conduct cost/benefit analysis, business case development, prioritize requirements, and create conceptual prototypes and mock-ups. - Master strategic business process modeling, traceability, and quality management techniques. - Demonstrate strong verbal and written communication and presentation skills, effectively communicating analytical outcomes to both business and technical teams. **Qualifications Required:** - Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). - Familiarity with Finance & Accounting principles and/or project accounting. - Experience in developing and implementing machine learning models, particularly in NLP and Generative AI. - Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. - Strong understanding of deep learning architectures, algorithms, and frameworks. - Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks. - Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). - Bachelor's degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines. - Master's Degree in Statistics, Business Administration, or related disciplines is a plus. - Certifications in Data Analytics & Data Science are a plus. - Must have 1+ years of experience working on ML algorithms and related products. - Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL). - Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus. - Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules). **Additional Company Details (if applicable):** CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as CDM Smith) reserves the right to require background checks including criminal, employment, education, licensure, etc., as well as credit and motor vehicle checks for certain positions. Background checks are conducted post-offer in the United States. The timing of background checks for positions outside the US will vary. Criminal history will not automatically disqualify a candidate.,

As a Senior Data Scientist (Artificial Intelligence Machine Learning) at FIS, you will have the opportunity to work on challenging and relevant issues in financial services and technology. You will be part of a team that is open, collaborative, entrepreneurial, passionate, and fun. **Role Overview:** You will be responsible for employing machine learning and statistical modeling to create and enhance data-driven products. Additionally, you will analyze and extract insights from internal and external data, work with Big Data, and transform complex datasets into more usable formats. Collaboration with other groups to solve complex problems and presenting analyses to partners and clients will be part of your daily tasks. This role requires working independently and in collaboration with others. **Key Responsibilities:** - Use concepts of AIML, GenAI, LLMs, Sentiment analysis, etc. - Create correlations between different data points for predictive and preventive analysis. - Employ machine learning and statistical modeling for product development. - Analyze and extract insights from data. - Work with Big Data to transform datasets. - Utilize data science tools and programming languages like SAS, Python, R, Scala, SQL. - Work in 2 PM to 11 PM IST shifts. **Qualifications Required:** - 4 to 6 years of experience in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis. - Proficiency in data science tools and programming languages such as SAS, Python, R, Scala, SQL. - Relevant degree in Artificial Intelligence Machine Learning. - Experience or knowledge of cloud-based technology. - Knowledge of the financial services industry. In addition to the challenging work and responsibilities, FIS offers a range of benefits to support your lifestyle and wellbeing. You will work in a modern international environment with a dedicated and innovative team, providing you with professional education and personal development opportunities. FIS is the final career step for you to grow and thrive in the field of Artificial Intelligence and Machine Learning. Please note that FIS is committed to protecting the privacy and security of all personal information processed to provide services to clients. For more details on privacy protection, refer to the Online Privacy Notice. Please note that FIS primarily uses a direct sourcing model for recruitment, and a small portion of hiring is through recruitment agencies. FIS does not accept resumes from agencies not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings. Thank you for considering a career with FIS!,

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 programming languages like Python, database query language SQL, Machine Learning 5+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 5+ years of experience in statistical modeling, forecasting, classification Good applied statistical skills and advanced statistical techniques and concepts Deep knowledge on ML frameworks such as TensorFlow, Pytorch, Keras, Spacy, scikit-learn. Ability to translate business requirements into conceptual and detailed system architecture and technology solutions. 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 agents, computer vision, and neural networks. Excellent problem-solving and communication skills. Knowledge on version control systems, such as Git.

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 agents, computer vision, and neural networks. Excellent problem-solving and communication skills. Knowledge on version control systems, such as Git. Your Profile 3+ years of experience in statistical programming languages like Python, database query language SQL, Machine Learning 2+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 2+ years of experience in statistical modeling, forecasting, classification Good applied statistical skills and advanced statistical techniques and concepts Deep knowledge on ML frameworks such as TensorFlow, Pytorch, Keras, Spacy, scikit-learn. What You"ll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

You will be working as an NLP & Generative AI Annotator, focusing on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your contributions will play a crucial role in improving AI applications such as chatbots, content generation, machine translation, summarization, and more. **Responsibilities:** - Annotate and label text data for various NLP tasks (entity recognition, sentiment analysis, summarization, etc.). - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and refine prompts to enhance the performance of generative AI models (LLMs, chatbots, creative writing AI, etc.). - Analyze AI outputs and provide structured feedback to improve model accuracy. - Conduct quality assurance by reviewing and refining existing annotations and prompts. - Collaborate with AI researchers, data scientists, and engineers to enhance AI-generated text. - Apply critical thinking and linguistic expertise to resolve ambiguities while following detailed annotation guidelines. **Requirements:** - Fluency in English (written and spoken) with strong grammar, comprehension, and analytical skills. - Experience with generative AI models such as ChatGPT, Claude, Gemini, LLaMA, etc., and understanding of prompt engineering is preferred. - Critical thinking and problem-solving abilities to assess AI-generated content for accuracy and bias. - Prior experience in NLP annotation, content moderation, linguistics, or AI-related projects is a plus but not required. - Attention to detail to recognize and correct AI model inconsistencies. - Familiarity with annotation tools and interest in working with AI-driven platforms is preferred. - A Bachelor's degree in Linguistics, English, Literature, Communications, Computer Science, AI, or a related field is preferred.,

As a UX Writer & UX Researcher in the BFSI industry based in Pune, you will have the opportunity to contribute to enhancing user experience through your expertise in both writing and research. For the UX Writing aspect, your responsibilities will include developing strategies to enhance user comprehension and engagement. You will be tasked with creating clear microcopy for various touchpoints such as CTAs, error messages, and onboarding processes. Ensuring consistency in tone and voice across different touchpoints is crucial, as well as writing inclusive and accessible content that is compatible with screen readers. You will also utilize AI tools for tasks like sentiment analysis, persona generation, and content suggestions. Applying taxonomy and personalization methods to improve UX, and validating content effectiveness through testing and analytics will be part of your role. In the UX Research domain, you will be responsible for analyzing behavioral data, surveys (CSAT, NPS), and customer complaints to gather valuable insights. Designing and conducting experiments to generate further insights, and leveraging both behavioral analytics and VOC data to identify pain points will be key responsibilities. Building user personas and journey maps, and collaborating with CX/behavioral analysts to support solutioning and A/B testing are also crucial aspects of the role. Overall, you will play a vital role in improving user experience by combining your skills in UX writing and research, and contributing to the success of projects aimed at enhancing user engagement and satisfaction.,

As a First Responder AI Expert with 5-7 years of experience, your primary responsibility will be to lead the development of AI agents designed for instant, context-aware responses. This role requires expertise in AI engineering, natural language processing (NLP), and a deep understanding of business operations. You will play a crucial role in creating, deploying, and optimizing AI agents that act as a "first responder" to various queries and events within the organization. This includes automating support, knowledge access, and operational workflows to enhance efficiency and productivity. Your key responsibilities will involve end-to-end agent development, where you will design, develop, and deploy conversational and autonomous AI agents capable of triaging, answering, and resolving user requests in real-time. Leveraging large language models (LLMs) and implementing robust RAG (Retrieval Augmented Generation) systems will be essential to ensure accurate and effective agent responses. Additionally, you will be required to integrate AI agents with internal business systems such as Slack, Jira, Salesforce, and CRM using APIs, enabling autonomous actions and seamless workflow automation. Your prompt engineering and agent design skills will be crucial in ensuring agents provide relevant and contextually appropriate responses while delivering a positive user experience. Collaboration and leadership are also key aspects of this role, as you will act as a subject matter expert on "first responder" AI solutions, provide technical guidance to cross-functional teams, and work closely with product managers and business stakeholders to define agent capabilities. Mentoring junior engineers and sharing best practices in agent development will also be part of your responsibilities. To be successful in this role, you must hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with 5-7 years of experience in AI engineering, NLP engineering, or a similar role. Strong proficiency in Python is non-negotiable, and deep expertise in NLP techniques, generative AI technologies, MLOps practices, cloud platforms, and system integration is required. Preferred qualifications include experience with specific agent frameworks, developing AI solutions for various business functions, understanding of ethical AI principles, contributions to open-source projects, and familiarity with real-time streaming data technologies. If you are a highly experienced and innovative AI professional looking to lead the development of cutting-edge AI solutions as a First Responder AI Expert, we invite you to apply and be part of our dynamic team.,

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture 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 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for? Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 1-3 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights. Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

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, OCR, sentiment analysis, entity recognition, and topic modeling is required. Proficiency in LangChain and Open LLM frameworks for tasks like summarization, classification, Name entity recognition, and Question answering is essential. You should be proficient in Generative techniques like prompt engineering, Vector DB, and LLMs such as OpenAI, LlamaIndex, Azure OpenAI, and Open-source LLMs. Hands-on experience in GenAI technology areas including RAG architecture, fine-tuning techniques, and inferencing frameworks is preferred. Familiarity with big data technologies/frameworks, as well as sound knowledge of Microsoft Azure, is necessary for this role. This is a Full-time, Permanent position with a Day shift schedule. The required experience includes 2 years in GenAi and 4 years in LLM. The work location is in person.,

You will define and execute the AI product strategy in alignment with the objectives of our clients. Your responsibilities will include leading market research and competitive analysis to identify business opportunities, developing business cases for new AI-driven product initiatives, and translating complex AI/ML capabilities into intuitive product requirements and user stories. You will oversee testing and validation to ensure that AI features meet quality and performance standards and engage with customers and stakeholders to refine AI solutions based on feedback. Additionally, you will optimize user journeys by collaborating with marketing and sales for AI-driven engagement, drive AI personalization and automation by leveraging NLP, sentiment analysis, and recommendation engines, and establish AI analytics and reporting to track performance and continuously improve solutions. Preferred skills and expertise for this role include generative AI product strategy and prototyping, familiarity with AI/ML frameworks such as LLMs, RAG, NLP, and sentiment analysis, experience with prompt engineering and AI-powered recommendation engines, knowledge of AI product tools like Pendo, Figma/Adobe, Lucidchart, and others, proficiency in data-driven decision-making and user experience design principles, strong communication, presentation, and stakeholder management skills, a background in Telecom, MarTech, and/or STEM (preferred but not required), and a customer-centric and consultative mindset. This job requires a proactive individual who can effectively strategize and implement AI product initiatives to drive business growth and enhance user experience. If you are passionate about leveraging AI technologies to create innovative solutions and have the skills and expertise mentioned above, we encourage you to apply for this exciting opportunity.,

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for? Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 3-5 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights. Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

About The Role Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for? Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 3-5 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights. Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

You will be responsible for building, improving, and extending NLP capabilities. Your tasks will include selecting proper annotated datasets for supervised learning techniques, using effective text representation techniques to develop useful features, identifying and utilizing correct algorithms for specific NLP projects, developing NLP projects as per prescribed requirements, training developed NLP models, and evaluating their effectiveness. Additionally, you will conduct statistical analyses of models, adjust models where necessary, and extend machine learning frameworks and libraries for NLP projects. The ideal candidate should have 2-4 years of experience in Analytics and Machine Learning & Deep Learning, including expertise in areas such as Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU), and Natural Language Generation (NLG). You are expected to possess good experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries like BeautifulSoup. Knowledge of advanced scraping techniques such as overcoming captcha, proxy, browser fingerprinting, and bot detection bypassing is preferred. You should have a working knowledge of various databases like MySQL, HBase, MongoDB, message queues, and Web RestFul APIs. Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, Gensim, LingPipe, Keras, TensorFlow, Mallet, ML/math toolkits like scikit-learn, MLlib, Theano, NumPy, etc., is essential. Experience in testing and deployment of machine learning/deep learning projects on the desired platform is required. Strong logical and analytical skills along with good soft and communication skills are desired qualities. Desirable certifications for this role include Google Tensor Flow, Hadoop, Python, PySpark, SQL, and R.,

We have a job opening for GenAI Team Lead at PibyThree Consulting Services Pvt Ltd in Mumbai. The company is a Global Cloud Consulting & Services provider specializing in Cloud Transformation, Cloud FinOps, IT Automation, Application Modernization, and Data & Analytics. PibyThree aims to make businesses successful by leveraging technology for automation and enhanced productivity. As a Gen AI lead at PibyThree, you will be responsible for building both Traditional AI/ML systems and Generative AI-based systems. The ideal candidate should have a total experience of 5 to 7 years with hands-on experience in building language models, machine learning, and AI models using industry tools, products, and Azure cognitive services. Key Responsibilities: - Highly skilled in programming with the ability to assess, analyze, and organize large amounts of data - Expertise in large language models (LLMs/LSTMs/BERT) and exposure to Anthropic AI, OpenAI, among others - Experience in building, customizing, and fine-tuning AI models through GenAI studios (OpenAI, Vertex, or Bedrock) extended via Azure, AWS, or GCP for rapid PoCs - Proficiency in completions, embeddings, edits, transcriptions, translations, and moderations across various large language models - Knowledge of LlamaIndex and LangChain - Hands-on training and fine-tuning experience with distributed OpenAI models such as DaVinci, curie, Babbage, ADA - Programming skills in R, Python, SQL, Hive, Pig, and familiarity with Scala, Java, or C++ - Deep experience in applying machine learning algorithms with a strong data science and data engineering background - Understanding of cloud technology and Cognitive Services including Vision, Speech, Language, Decision, and Search - Previous projects leveraging GenAI services like Azure OpenAI, Bedrock, or Vertex - Knowledge of text/content representation techniques, statistics, and classification algorithms Good to have: - Exposure to Dataiku - Exposure to Snowflake and/or Databricks - AWS/Azure/Google Machine Learning certifications Requirements: - Bachelor's degree preferred - 5 years of total work experience with specific experience in Artificial Intelligence (2 years), Generative AI (1 year), and Machine Learning (3 years) - Generative AI Certification preferred This is a full-time position with an in-person work location and a day shift schedule. If you meet the qualifications and are interested in this role, please fill out the Google Form provided in the job description.,

As the AI Product Manager, your primary responsibility will be to define and execute the AI product strategy in alignment with our clients" objectives. You will lead market research and competitive analysis to identify business opportunities and develop compelling business cases for new AI-driven product initiatives. Your role will involve translating complex AI/ML capabilities into intuitive product requirements and user stories. Testing and validation of AI features to ensure they meet quality and performance standards will be under your purview. Engagement with customers and stakeholders to refine AI solutions based on feedback will be essential. Collaborating with marketing and sales teams to optimize user journeys through AI-driven engagement will also be a key aspect of your role. Driving AI personalization and automation by leveraging NLP, sentiment analysis, and recommendation engines will be crucial. Establishing AI analytics and reporting mechanisms to track performance and continuously improve solutions will also be a part of your responsibilities. The ideal candidate should possess expertise in generative AI product strategy and prototyping, AI/ML frameworks (LLMs, RAG, NLP, Sentiment Analysis), prompt engineering, and AI-powered recommendation engine. Familiarity with AI product tools such as Pendo, Figma/Adobe, Lucidchart, and others is preferred. Strong skills in data-driven decision-making, user experience design principles, communication, presentation, and stakeholder management are necessary. While a background in Telecom, MarTech, and/or STEM is preferred, it is not mandatory. A customer-centric and consultative mindset will be essential to excel in this role.,

The selected individuals will be responsible for conducting training sessions for professionals and corporates on various Analytical tools and techniques, with a focus on BI tools such as SAS, R, SPSS, Python, Tableau, and VBA. Their main duties will involve developing relevant content and materials for the program and other technologies as directed by the organization. Successful candidates will have the opportunity to grow into key positions within the organization and may explore roles in training, content development, and research based on their interests and potential. Candidates for this role should hold a MA/MSc/ MPhil/ Phd (pursuing) degree in Economics, Statistics, Mathematics, or B-Tech, with 0-2 years of work experience in a similar industry. Key prerequisites for the role include an understanding of BI tools, a working knowledge of Advanced Excel (VBA Macros), a strong grasp of Analytical concepts, and proficiency in basic Statistical Concepts such as Descriptive Statistics, Probability, Hypothesis testing, Factor Analysis, Cluster Analysis, Linear Regression, Logistic Regression, and Time series Modeling. Other essential skills and qualities include excellent Presentation, Team Handling, and People Skills. Preference will be given to candidates with consistent academic records and those with leadership experience in extracurricular activities. Candidates with a Masters in Statistics or Economics, knowledge of Econometrics, and proficiency in Base SAS, Advanced SAS, R-Programming, SPSS, Excel, VBA, and Tableau will be preferred. Additionally, familiarity with various analytical concepts such as Linear Regression, Logistic Regression, Time Series, Cluster Analysis, Factor Analysis, Analysis of Variance, Sentiment Analysis, Market Basket Analysis, CHAID- Decision Tree, Text Mining, Survival Analysis, Credit Risk, and Customer Analytics will be advantageous for this role.,

About us: Suhora is a cutting-edge technology firm that leverages satellite imagery, big data, and AI to solve problems surrounding Earth. We specialize in offering integrative all-weather, day-and-night solutions by combining Synthetic Aperture Radar (SAR), Optical, and Thermal data. Our mission is to utilize technology and our expertise in geospatial intelligence to make this world a better and more sustainable place. At Suhora, we are committed to delivering innovative solutions that help our clients make data-driven decisions, whether its for environmental monitoring, agriculture, disaster response, or infrastructure development. We believe that our expertise can make a tangible difference in addressing global challenges, and we're looking for individuals who are passionate about technology and sustainability to join our team. For more detailed information, visit our website: www.suhora.com Job Summary: We are seeking a Machine Learning Engineer with a focus on Large Language Models (LLMs), Natural Language Processing (NLP), and advanced techniques such as LLAMA and Retrieval-Augmented Generation (RAG). The ideal candidate will have hands-on experience in leveraging cutting-edge LLMs, including Meta's LLAMA models, and applying RAG to develop powerful AI systems. You will work on projects that combine NLP techniques with geospatial data, building systems that can process, analyze, and generate insights from geospatial intelligence applications. Responsibilities: - Develop LLMs & NLP Models: - Design, develop, and fine-tune LLAMA models, RAG architectures, and other LLM techniques (e.g., GPT, BERT) to process and generate text-based insights from geospatial data, reports, and metadata. - Build and integrate NLP models capable of performing information retrieval, extraction, and classification tasks from geospatial data reports and documents. - Implement Retrieval-Augmented Generation (RAG): - Design and implement RAG systems that enhance the performance of LLMs by integrating external knowledge sources for generating context-aware, accurate, and useful results. - Fine-tune LLAMA or other LLMs with RAG architectures to provide responses based on external retrieval of relevant information from large, unstructured datasets. - Text Analytics & Information Extraction: - Implement advanced NLP techniques for extracting key insights from unstructured geospatial text, such as location-based data, satellite data descriptions, and environmental reports. - Integrate LLMs with structured geospatial data, such as GeoTIFFs, shapefiles, or GIS data formats, to provide actionable insights. - Model Training and Optimization: - Train large-scale LLAMA models and RAG systems to handle diverse text datasets and optimize them for performance in real-time applications. - Ensure that models are efficient, scalable, and capable of processing massive volumes of geospatial-related text data. - Cross-Functional Collaboration: - Work closely with data scientists, software engineers, and domain experts to integrate NLP and LLM models into production pipelines. - Continuously contribute to R&D efforts, exploring and implementing new advancements in LLAMA, RAG, and NLP technologies. Required Skills & Qualifications: Experience: - 3-5 years of experience in machine learning, NLP, and LLMs, with specific hands-on experience working with LLAMA models or similar LLM technologies (e.g., GPT, BERT). - Experience in implementing Retrieval-Augmented Generation (RAG) techniques for improving model performance. Technical Expertise: - Strong proficiency in Python, and experience with NLP libraries and frameworks such as Hugging Face Transformers, spaCy, PyTorch, TensorFlow, or Torch. - Hands-on experience with LLAMA (Meta AI) or similar transformer-based models. - Proficiency in text processing techniques, including tokenization, named entity recognition (NER), sentiment analysis, and semantic search. Problem Solving & Collaboration: - Ability to analyze complex NLP tasks and translate them into scalable and efficient model solutions. - Strong collaboration skills to work with engineers and domain experts in delivering end-to-end NLP solutions. Preferred Skills: - Experience with geospatial data or knowledge of geospatial intelligence. - Familiarity with cloud platforms for model deployment (AWS, Google Cloud, Azure). - Knowledge of data augmentation, model fine-tuning, and reinforcement learning techniques. - Experience with Docker and Kubernetes for deploying machine learning models. Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields.,