26 Text Classification Jobs

As a skilled Data Engineer with at least 2 years of experience and proficiency in Python, along with a strong background in Natural Language Processing (NLP) and Machine Learning (ML), you will play a crucial role in designing, developing, and maintaining data pipelines and systems to support NLP and ML initiatives at our company. Working closely with data scientists and software engineers, you will deploy cutting-edge solutions that leverage NLP and ML techniques effectively. **Responsibilities:** - Develop and maintain data pipelines to ingest, process, and analyze large volumes of text data. - Implement NLP algorithms and techniques for tasks such as text classification, named entity reco...

Role Overview: You will be responsible for developing and deploying NLP solutions using transformers, text mining techniques, and modern language models. Your main tasks will involve building production-ready systems for text analysis and understanding. Key Responsibilities: - Design and implement NLP pipelines for text classification, entity recognition, and information extraction - Build transformer-based models for various NLP tasks and applications - Develop text mining solutions to extract insights from large-scale unstructured data - Implement and customize spaCy pipelines for domain-specific NLP requirements - Integrate and fine-tune LLMs for text processing and understanding tasks - ...

In this role at EY, you will have the opportunity to contribute to the Supply Chain Technology group of the GDS consulting Team as a Staff Level Consultant with expertise in Generative AI. Your responsibilities will involve designing, developing, and fine-tuning Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Additionally, you will implement solutions for data pre-processing, tokenization, and dataset augmentation, and deploy Generative AI models on cloud platforms or edge devices to ensure scalability and robustness. You will work on MLOps pipelines, conduct performance benchmarking, hyperparameter tuning, and stay updated on the latest trends in ...

We are seeking a highly skilled and motivated Machine Learning Engineer with a strong background in machine learning, and data science, and a passion for solving problems related to prioritization, classification, and clustering in the evolving field of cybersecurity. In this role, you will play a critical part in building and deploying machine learning models to enhance our prioritization and recommendation systems to improve alert fatigue. Your work will have a direct impact on optimizing processes and decision-making within our organization. Fill Application Form Key Responsibilities Data Preparation: Collect, preprocess, and clean data to make it suitable for machine learning tasks. Work...

As a Research Software Engineer at our company, your role involves building and developing systems that showcase the latest research technology to address real-time NLP challenges. You will be participating in both basic and applied research projects focusing on text analytics and machine learning. Your responsibilities will include identifying new research opportunities, devising innovative solutions to research problems, and leveraging creativity and adaptability to stay ahead of competition and meet evolving customer needs. Key Responsibilities: - Participate in basic and applied research on text analytics and machine learning projects - Identify new research opportunities and develop inn...

As a highly skilled and experienced Data Scientist with a strong specialization in Natural Language Processing (NLP) and OpenCV, your role will involve developing and deploying NLP solutions for business needs, leveraging OpenCV for computer vision tasks, building and optimizing machine learning models, and collaborating with cross-functional teams to design and deploy solutions. You must have proven experience in text analysis using frameworks like spaCy, NLTK, GPT, and BERT, deep knowledge of OpenCV for image data processing, and solid experience in Python and its libraries. Additionally, you should have strong experience in machine learning algorithms, deep learning techniques, deploying ...

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks related to clinical texts. Your responsibilities will include being a key contributor to Miimansa's research collaborations with academic NLP research groups, engaging in NLU challenge tasks, and contributing to publications. You will stay updated on state-of-the-art methods relevant to Miimansa's product pipeline and offer recommendations for the product roadmap and strategy. Key Responsibilities: - Develop and prototype novel methods for natural language understanding tasks in clinical texts - Collaborate with academic NLP research g...

Role Overview: As a part of our team, you will have the exciting opportunity to work with cutting-edge AI technologies, specifically focusing on Generative AI and Natural Language Processing (NLP). You will be involved in developing AI solutions, collaborating with experts, and contributing to the advancement of the field of AI. Key Responsibilities: - Assist in designing and developing NLP systems for tasks like text classification, sentiment analysis, named entity recognition (NER), and machine translation. - Contribute to the development of language models for text summarization, question answering, and dialog systems. - Work with large unstructured text datasets, implementing techniques ...

In this role as a Data Scientist specializing in AI/ML & GenAI, your main responsibility will be to utilize your expertise in machine learning, deep learning, NLP, and generative AI (LLMs) to develop, deploy, and maintain end-to-end AI solutions. You will collaborate closely with both business and technical teams to drive data-informed decisions and optimize business outcomes. Your key responsibilities will include: - Extracting, processing, and validating both structured and unstructured data - Building and deploying ML/DL models, including LLMs and GenAI applications - Developing scalable and reproducible model training and deployment pipelines - Translating business problems into analytic...

As a senior data scientist at UBS, you will play a crucial role in driving digital transformation by working on data science projects within the newly established Data and Analytics Team in Group Legal. Your responsibilities will include: - Collaborating with stakeholders to translate reporting requirements into actionable tasks and implementing product enhancements. - Designing, building, and deploying high-performance AI/ML/NLP models to meet business objectives. - Monitoring and optimizing model performance to ensure quality, stability, and scalability. - Cleaning, manipulating, and processing raw data into useful information suitable for business purposes. - Validating AI/ML opportunitie...

Job Description: We are looking for fresh candidates with a strong passion for Generative AI and Natural Language Processing NLP to join our team In this role you will have the opportunity to learn and contribute to the development of cutting edge AI solutions working with state of the art technologies such as transformers text generation and sentiment analysis You will gain hands on experience in building and fine tuning Generative AI models particularly focusing on NLP tasks This is a fantastic opportunity to grow alongside a team of experts tackle real world challenges and advance the field of AI We seek individuals with curiosity a strong learning mindset and a desire to make a meaningfu...

As an AI/ML Developer, you will be responsible for utilizing programming languages such as Python for AI/ML development. Your proficiency in libraries like NumPy, Pandas for data manipulation, Matplotlib, Seaborn, Plotly for data visualization, and Scikit-learn for classical ML algorithms will be crucial. Familiarity with R, Java, or C++ is a plus, especially for performance-critical applications. Your role will involve building models using Machine Learning & Deep Learning Frameworks such as TensorFlow and Keras for deep learning, PyTorch for research-grade and production-ready models, and XGBoost, LightGBM, or CatBoost for gradient boosting. Understanding model training, validation, hyperp...

Job Summary: We are seeking an innovative and highly skilled Data Scientist (LLM & Generative AI) with 5+ years of experience in machine learning, natural language processing, and applied AI. The ideal candidate will have deep expertise in large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and agentic AI approaches. This role involves developing intelligent, autonomous, and scalable AI solutions that leverage cutting-edge research in generative AI, transformers, and multi-agent systems. In addition, the candidate will be expected to collaborate closely with engineering teams to bring research into production. Key Responsibilities: Research, design, and im...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking for Manager Level Architects with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an AI Automation Architect for Customer Business Process Manager, you will be responsible for working on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This role offers a fantastic opportunity to be part of a leading firm and instrumental in...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are currently seeking Senior Level Consultants with expertise in Generative AI to join our Supply Chain Technology group within the GDS consulting Team. This role offers the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams...

You will be joining Star Software, an AI-powered automation company with a focus on revolutionizing document processing and workflows. The company specializes in processing complex documents and reports to facilitate precise data extraction. Star Software's technology stack is driven by AI, OCR, and RPA, ensuring accuracy, efficiency, and seamless integration into existing workflows. Your role will involve working with the following tech stacks and key skills & tools: - **Language Skills**: - Strong proficiency in Python - Familiarity with libraries such as Transformers, OpenAI SDK, and Hugging Face Datasets - **Machine Learning/Deep Learning**: - Proficiency in PyTorch and TensorFlow (optio...

We are seeking a skilled Machine Learning Engineer / Data Scientist with specialized knowledge in ML, NLP, and Large Language Models (LLMs). The perfect candidate should possess over 4 years of experience in ML/NLP and a minimum of 1 year of practical exposure to LLMs, particularly in fine-tuning, RAG, and AI-driven agents. Your primary responsibilities will include refining and optimizing LLMs such as GPT, LLaMA, and Mistral, as well as creating AI agents utilizing CrewAI, LangChain, and AutoGPT. Additionally, you will be tasked with constructing and improving RAG pipelines using FAISS, Pinecone, and Weaviate, working on various NLP models like text classification, summarization, and NER, a...

Prismforce is a Vertical SaaS company at the forefront of revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Through our AI-powered product suite, we aim to enhance business performance by facilitating operational flexibility, accelerating decision-making processes, and boosting profitability. Our ultimate mission is to establish ourselves as the premier industry cloud/SaaS platform for tech services and talent organizations worldwide. We are currently seeking a highly experienced Data Scientist to join our team in Bangalore within the AI & ML department. In this role, you will be instrumental in leveraging your expertise in Natural Lan...

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. Sutherland has been helping customers across industries from financial services to healthcare achieve greater agility through transformed and automated customer experiences for over 30+ years. We are currently looking for a skilled and experienced Mach...

Greetings from TAO Digital!! We are currently looking for AI/ML Engineer for Bangalore location. Interested candidates can share your updated CV to [HIDDEN TEXT] 5+ years of professional experience in full-stack or backend development, with at least 5 years of recent hands-on experience working with Python and AI/ML-powered applications. Strong understanding of ML/NLP concepts, especially in areas such as text classification, summarization, and conversational AI. Proficiency working with Langchain, AWS Bedrock, OpenAI APIs, Hugging Face, and Vector Databases (e.g., Pinecone, FAISS, Weaviate, etc.). Experience with AWS services (especially Lambda, S3, Bedrock, Transcribe) in a SaaS or cloud-n...

As a Data Scientist Lead-GenAI at Your Partner, a strategic technology partner specializing in AI solutions, you will be responsible for developing and deploying machine learning models and NLP solutions. With 8 to 10 years of experience, you will play a key role in optimizing performance for GenAI applications and collaborating with cross-functional teams to deliver AI-driven insights. Your expertise in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) will be essential in driving the success of our projects. Proficiency in Python and NLP libraries such as NLTK, spaCy, TextBlob, TensorFlow, PyTorch, and Hugging Face is required. Experience with pre-trained mod...

As a member of the Machine Learning team at JPMorgan Chase, you will have the opportunity to work on cutting-edge machine learning projects that optimize business decisions using the company's unique data assets. Your role will involve collecting, annotating, and enriching data for machine learning models across various lines of business within the company. You will be responsible for providing data annotation services for different data types including text, chats, emails, and audio. Understanding the business use-case will be crucial as you own the data annotation pipeline, ensuring the raw data is transformed into reliable, annotated ground truth for sophisticated machine learning methods...

You should have 5 to 8 years of good working experience in NLP. Your experience should include working with Text Classification, NER models for fine-tuning and zeroshot applications. Proficiency in Huggingface and Pytorch is required. Additionally, experience with Document Processing is expected. In Python / AI Engineering, you should be proficient in building re-usable and scalable data pipelines using Python. Experience with NoSQL databases, data analysis, ML/DL frameworks, web API frameworks, and unit testing frameworks is necessary. Experience with Microservices and Cloud technologies is essential, including Docker, ECS / EKS. Good experience with at least one cloud service provider, wit...

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum ...