8 Text Classification Jobs nearby Noida

Job Description Data Scientist Role: Data Scientist Experience: 3-4 years Location: Gurgaon (Hybrid) Role Overview We are seeking a Data Scientist with 34 years of experience in AI/ML and Deep Learning. The role involves building and deploying models for prediction, anomaly detection, NLP, and industrial analytics (predictive maintenance). You will work with cross-functional teams to design scalable pipelines and deliver data-driven solutions that create measurable business impact.  Key Responsibilities: Develop and deploy AI/ML and Deep Learning models for regression, classification, clustering, anomaly detection, and forecasting. Apply Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Autoencoders for solving business problems. Work on NLP techniques (BERT, GPT-based models, text similarity, embeddings, topic modeling). Build predictive analytics and optimization pipelines for industrial/manufacturing domains (predictive maintenance). Perform exploratory data analysis (EDA), feature engineering, and statistical validation. Required Skills Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Keras). 3-4 years of hands-on experience in AI/ML model development. Expertise in Deep Learning architectures (CNN, RNN, LSTM, Transformer-based models). Solid background in statistical analysis, hypothesis testing, and probability models. Strong knowledge of SQL/Databases (PostgreSQL, InfluxDB) for data extraction and processing. Candidate can be apply from Delhi/NCR  Regard, Ruchi Maurya Talent Acquisition Team 9971720679

About Taggd: Taggd is a digital recruitment platform that provides Ready-to-Hire talent to India Inc. Combining the power of human knowledge and data, Taggd has successfully fulfilled talent mandates of more than 100+ clients and ensured hiring managers success for half a million jobs from over 14+ sectors. With a vision to fill 1 million Jobs through our talent platform by 2030, we strive to connect people with people, people with companies, and people with opportunities. Just right. Every time. For more information pls visit www.taggd.in About the Position: Designation: Machine Learning Engineer Domain Expertise: AI/ML Job Location: Gurgaon Working Days: 5 days (Hybrid) About the Role: At Taggd, our people are our most important resource. Were looking for a highly skilled recruiter to become one of them, and to help us find them. The ideal candidate will have prior experience in recruitment or talent acquisition, with knowledge of screening, interviewing, and hiring practices. If you have a passion for finding untapped talent, driving company growth, and helping individuals find promising careers, we want to hear from you. Job Requirements: Education: Btech Experience: 2-5 years Desired Competencies: Must have skills: Machine Learning, Python, LLM, Prompting Good to have: Predictive/ Statistical Modeling, Recommender System, Text Mining / Optimisation, Elasticsearch Must have solid hands-on experience python with data analysis and representation of the same. At least 3 years of relevant experience with Statistical Modelling, Predictive Analytics or Recommender Systems At least 1 year of relevant experience with LLM and prompting Decent Understanding of Machine Learning Algorithms and Neural Networks Prior experience with NLP and Elasticsearch is advantageous Expert in Logistic Regression based as well as other classification-based model building, segmentation techniques, clustering Desired Good knowledge of big data platforms and tools

As an Assistant Director - AI/GenAI at EY, you will be responsible for developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python programming. Your role will involve leading the development and implementation of Generative AI applications, working with advanced models like GPT-3.5, GPT 4, Llama, BERT, and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. You will also work on identifying opportunities for analytics applications, managing projects, and ensuring smooth service delivery. **Key Responsibilities:** - Develop, review, and implement solutions applying AI, Machine Learning, and Deep Learning - Lead the development and implementation of Generative AI applications - Work with advanced models for natural language processing and creative content generation - Design and optimize solutions leveraging Vector databases - Understand business sectors and identify opportunities for analytics application - Manage projects and ensure smooth service delivery - Communicate with cross-functional teams - Go-to-market/stakeholder management **Qualifications Required:** - Experience guiding teams on AI/Data Science projects - Familiarity with implementing solutions in Azure Cloud Framework - Excellent presentation skills - 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models - Experience with statistical techniques, deep learning, and machine learning algorithms - Proficiency in Python programming - Familiarity with software development life cycle (SDLC) - Willingness to mentor team members As an ideal candidate, you should have the ability to think strategically, build rapport within the firm, and travel extensively. EY offers opportunities to work with a global team of professionals in a dynamic and inclusive culture, providing continuous learning and transformative leadership. Join EY and be a part of building a better working world through innovation and collaboration across industries and geographies.,

Role Overview: As a Data Analyst, you will provide expertise on data analysis techniques using software tools and streamline business processes under supervision. Your role will involve designing and managing the reporting environment, providing technical expertise on data storage structures, data mining, and data cleansing, as well as supporting the data warehouse in identifying and revising reporting requirements. You will also support initiatives for data integrity and normalization, troubleshoot the reporting database environment, and recommend new ways to streamline business processes. Additionally, you will illustrate data graphically, translate complex findings into written text, and help clients make better decisions by generating reports from single or multiple systems. Training end users on new reports and dashboards will also be part of your responsibilities. Key Responsibilities: - Design and manage the reporting environment including data sources security and metadata - Provide technical expertise on data storage structures, data mining, and data cleansing - Support the data warehouse in identifying and revising reporting requirements - Troubleshoot the reporting database environment and associated reports - Identify and recommend new ways to streamline business processes - Generate reports from single or multiple systems - Illustrate data graphically and translate complex findings into written text - Help clients make better decisions by locating results and soliciting feedback - Train end users on new reports and dashboards Qualifications Required: - 5-10 years of experience in data science/AI-ML/Generative AI development - Hands-on experience in developing complex AI/ML solutions - Strong knowledge of Machine Learning, Deep Learning, Generative AI/LLMs, and various use cases - Ability to apply methods such as predictive analytics, time series analysis, hypothesis testing, classification, clustering, and regression analysis - Proficiency in a core programming language such as Advanced Python, JavaScript's/React/Angular, Scala, Spark - Experience with databases like SQL server, Postgres, ClickHouse, Presto - In-depth understanding of Cloud Platforms such as AWS, GCP, Azure, and ML platforms like SageMaker - Familiarity with Visualization Tools like Tableau, PowerBI - Masters or Bachelors degree in Data Science, Computer Science, or a relevant field - Strong communication skills and ability to drive results through collaboration Additional Details: You should also have knowledge of database languages such as SQL, programming languages such as R or Python, analytical tools and languages such as SAS & Mahout, proficiency in MATLAB, data visualization software such as Tableau or Qlik, proficiency in mathematics and calculations, efficiency with spreadsheet tools such as Microsoft Excel or Google Sheets, DBMS, operating systems and software platforms, and knowledge regarding customer domains and subdomains where problems are solved. Additionally, you should have a strategic mindset with excellent analytical and problem-solving skills and be able to interact with business decision-makers and other AI/ML experts/coders effectively.,

As a Senior Data Scientist at our company, you will play a crucial role in developing and implementing machine learning models and algorithms. Your responsibilities will include working closely with project stakeholders to understand requirements, utilizing statistical and machine learning techniques to analyze complex data sets, staying updated with the latest advancements in AI/ML technologies, and collaborating with cross-functional teams to support various AI/ML initiatives. Key Responsibilities: - Develop and implement machine learning models and algorithms. - Work closely with project stakeholders to understand requirements and translate them into deliverables. - Utilize statistical and machine learning techniques to analyze and interpret complex data sets. - Stay updated with the latest advancements in AI/ML technologies and methodologies. - Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: - Bachelor's degree in Computer Science, Data Science, or a related field. - Strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred Skills: - Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using Python. - Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue). - Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) including indexing, search, and advance retrieval patterns. - Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL. - Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). - Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). - Experience with version control systems (e.g., Git, CodeCommit). - Strong knowledge and experience in Generative AI/LLM based development. - Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). - Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. - Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information retrieval. - Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. - Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills: - Knowledge and Experience in building knowledge graphs in production. - Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Please note that Pentair is an Equal Opportunity Employer, and we value diversity in our workforce as it brings different perspectives and creative ideas that contribute to our continuous improvement.,

As a Senior Data Scientist at our company, you will be joining a dynamic team with a strong focus on AI/ML analytics. With over 8 years of experience, you will play a key role in leveraging data to drive business insights and innovation. **Key Responsibilities:** - Develop and implement machine learning models and algorithms. - Work closely with project stakeholders to understand requirements and translate them into deliverables. - Utilize statistical and machine learning techniques to analyze and interpret complex data sets. - Stay updated with the latest advancements in AI/ML technologies and methodologies. - Collaborate with cross-functional teams to support various AI/ML initiatives. **Qualifications:** - Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - Strong understanding of machine learning, deep learning, and Generative AI concepts. In addition to the qualifications, you should have experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision (yolo), Deep Learning stack, NLP using python. You should also possess strong knowledge and experience in Generative AI/ LLM based development, along with expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data, including indexing, search, and advanced retrieval patterns. It is preferred that you have proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight), deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), and version control systems (e.g., Git, CodeCommit) will be beneficial for this role. **Good to Have Skills:** - Knowledge and Experience in building knowledge graphs in production. - Understanding of multi-agent systems and their applications in complex problem-solving scenarios. As an Equal Opportunity Employer, Pentair values diversity and believes that a diverse workforce contributes different perspectives and creative ideas that enable continuous improvement.,

Role Overview: As an AI/ML Engineer for our remote full-time position in the Tech & Digital department, you will be responsible for leading the development of advanced AI solutions. You will work on impactful projects utilizing cutting-edge AI and ML techniques, from defining problem statements to deploying production-ready systems on Azure and GCP. Key Responsibilities: - Develop intelligent pipelines to extract, classify, and filter text from various types of documents. - Build and optimize GenAI/LLM-powered document classification and processing systems. - Design and implement RAG solutions for precise question-answering from large documents. - Develop forecasting and predictive modeling systems using large-scale aviation datasets. - Design automated pipelines to extract structured data from scanned PDFs. - Architect, deploy, and maintain AI/ML systems using FastAPI, Python, Docker, and cloud platforms. - Continuously explore and adopt state-of-the-art AI/ML technologies to enhance system performance and automation. Qualifications Required: - Strong programming skills in Python with proficiency in Pandas, NumPy, PyTorch/TensorFlow, and Scikit-learn. - Hands-on experience with LLMs, RAG, and prompt engineering. - Proficiency in traditional ML models and NLP techniques. - Experience with OCR technologies. - Strong experience in FastAPI development. - Experience working with Cloud Infrastructure like Microsoft Azure or Google Cloud Platform. - Strong analytical and problem-solving mindset. - Demonstrated ability to take full ownership of projects. - Excellent debugging, optimization, and scaling skills for production-grade AI/ML pipelines and APIs. Additional Company Details (if applicable): You will have the opportunity to work on cutting-edge AI and GenAI projects with a global footprint. Additionally, you will work in a collaborative, innovative, and growth-driven work environment with a competitive compensation package based on skills and experience. The company offers a flexible working model to support a healthy work-life balance.,

You are a highly skilled AI Developer with over 5 years of experience in building and integrating AI-powered solutions. Your expertise lies in AI/ML development, automation workflows, and integrating copilots like Fuelix Copilot into enterprise or client applications. You are familiar with tools like Cursor and possess a client-centric development mindset. **Key Responsibilities:** - Design and develop AI-driven solutions tailored to enterprise and client needs. - Integrate AI copilots (e.g., Fuelix Copilot) into internal and external systems to enhance productivity and automation. - Build intelligent workflows and automation pipelines that reduce manual effort. - Collaborate with cross-functional teams including product owners, data engineers, and UI/UX teams to deliver AI features. - Utilize Cursor or AI-enhanced IDEs to streamline development and increase delivery speed. - Create and deploy machine learning models (classification, prediction, NLP, etc.) and monitor their performance in production. - Develop and maintain RESTful APIs for AI model integration. - Ensure data privacy, model accuracy, and responsible AI practices. **Qualifications Required:** - AI/ML development using Python, TensorFlow, PyTorch, or scikit-learn. - Hands-on experience with Fuelix Copilot or similar AI assistant tools. - Expertise in automation platforms, intelligent agents, or RPA workflows. - Experience with Cursor or other AI-enhanced developer productivity tools. - Strong skills in NLP, text analytics, and semantic search models. - REST API development and integration with AI models. - Strong debugging and problem-solving abilities. At TELUS Digital, where you will be working, customer experience innovation is enabled through spirited teamwork, agile thinking, and a caring culture that prioritizes customers. TELUS Digital is the global arm of TELUS Corporation, one of Canada's largest telecommunications service providers. The company delivers contact center and business process outsourcing solutions to major corporations in various sectors. With global call center delivery capabilities, TELUS Digital offers safe, secure infrastructure, value-based pricing, skills-based resources, and exceptional customer service, all supported by TELUS, its multi-billion dollar telecommunications parent. TELUS Digital is an Equal Opportunity Employer, committed to creating a diverse and inclusive workplace. Employment decisions, including hiring and promotions, are based solely on qualifications, merits, competence, and performance without discrimination based on any characteristic related to diversity.,

As a Data Scientist at EbizON, you will be responsible for analyzing complex datasets, developing data-driven models, and generating actionable insights to support strategic decision-making. You will collaborate with cross-functional teams to design and implement predictive models and machine learning solutions. The ideal candidate for this role is highly analytical, detail-oriented, and passionate about leveraging data to drive innovation and business growth. Key Responsibilities: - Data Modeling & Analysis: Design and develop models to analyze speech, text, and interaction data, including preprocessing pipelines, feature engineering, and outcome evaluation. - Machine Learning Implementation: Build and fine-tune models leveraging LLMs, NLP techniques, ASR/TTS outputs, and structured/unstructured datasets to improve conversational understanding and recommendations. - Experimentation & Evaluation: Design experiments (A/B tests, user behavior analysis), implement evaluation metrics, and continuously iterate on models to improve performance and engagement. - Data Integration: Work with backend teams to integrate ML pipelines into production workflows, APIs, and data stores ensuring robust, scalable data-driven solutions. - Trust, Privacy & Ethics: Collaborate with engineering and compliance teams to ensure data pipelines adhere to privacy laws (PII/PHI), encryption standards, and healthcare guidelines (HIPAA/SOC2). - Collaboration with Cross-Functional Teams: Partner with product, clinical, and engineering teams to translate business requirements into data-driven strategies and actionable insights. - Monitoring & Observability: Implement monitoring, error tracking, and data quality checks for models in production to ensure reliability and fairness. - Accessibility & Fairness: Incorporate accessibility guidelines (ADA/WCAG 2.2), fairness audits, and bias mitigation techniques to ensure inclusive solutions. Required Skills & Experience: - 3 Years Experience in Data Modeling, Machine Learning & AI. - Machine Learning & AI: Hands-on experience with NLP pipelines, LLMs, embeddings, intent classification, speech analytics, or recommendation systems. - Data Engineering: Skilled in building ETL pipelines, data wrangling, feature extraction, and data visualization from large datasets (structured and unstructured). - Statistical Analysis & Experimentation: Experience in hypothesis testing, A/B experiments, causal inference, or clinical outcome analysis. - Programming: Proficiency in Python (Pandas, scikit-learn, TensorFlow/PyTorch), SQL, and APIs for data integration. - Cloud Infrastructure: Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker), data lakes, and distributed computing frameworks. - Security & Privacy: Understanding of data encryption, secure storage, and compliance frameworks related to PHI/PII. - Healthcare Domain Knowledge: Experience with healthcare datasets, patient data, or compliance requirements like HIPAA or SOC2 is preferred. - Communication & Collaboration: Ability to explain data-driven insights clearly to non-technical stakeholders, work across product, engineering, and clinical teams. - Problem Solving & Curiosity: Strong analytical mindset with a passion for deriving insights from complex data and designing models that drive user experience improvements. About Us: EbizON is an international team specializing in building technology products and helping brands grow with multi-channel demand generation marketing. The company values integrity, creativity, innovation, mindfulness, and teamwork. EbizON provides equal opportunities for all employees and believes in flexible working hours to help employees thrive and maintain a work-life balance. The company also offers global client exposure and organizes retreats, town halls, and festive celebrations to foster a fun and friendly work culture.,

Role Overview: As a Principal Software Engineer at Instant Markets, a venture of Instant Systems Inc., you will have the opportunity to lead innovation in intelligent search systems by addressing lexical gaps, enhancing semantic text understanding, and overcoming data sparsity using Generative AI. You will be responsible for architecting and implementing semantic search and ranking systems, applying advanced NLP techniques, and collaborating with cross-functional teams to translate research into production-grade systems. Your work will involve driving innovations in recommendation systems and improving user satisfaction across products. Key Responsibilities: - Architect and implement semantic search and ranking systems using deep neural models and embeddings - Design robust generalization strategies for sparse data environments using pretrained models and knowledge distillation - Develop and refine query understanding, document retrieval, and ranking pipelines using advanced NLP and LLM techniques - Work on context-aware and intent-based search to enhance user satisfaction - Collaborate with applied scientists, product managers, and engineers to build production-grade systems - Evaluate model performance using offline metrics and online A/B testing for continuous improvement - Build hybrid recommendation models combining collaborative filtering with semantic understanding Qualifications Required: - 3-6 years of experience in Search/NLP/Machine Learning/Recommendation Systems - Strong foundation in ML/DL algorithms, including classification, ranking, embeddings, and transformers - Understanding of challenges like lexical gap, polysemy/synonymy, and semantic matching - Experience working with sparse or long-tail data in production settings - Hands-on experience with vector search technologies like FAISS, Pinecone, Weaviate - Proficiency in Python and exposure to libraries such as PyTorch, TensorFlow, Hugging Face, Scikit-learn, etc. - Knowledge of ranking models, feature engineering, and evaluation techniques - Familiarity with retrieval-augmented generation (RAG) and LLM integration into search pipelines About Instant Systems Inc.: Instant Systems Inc. is a Silicon Valley-based company with offices in Noida, focusing on finding and investing in bright startups to help establish competent product engineering teams. As part of the team, you will collaborate on innovative projects, receive mentorship and training for career growth, and have access to remote work options for better work-life balance. Instant Systems values diversity and inclusivity in its workplace, ensuring that every voice is heard and respected. (Note: The section "More About Instant Systems Inc." has been omitted as it does not directly relate to the job role and responsibilities.),