10 Text Classification Jobs

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 (optional) - Knowledge of fine-tuning methods like LoRA, PEFT, and QLoRA - Understanding of Transformers, Attention, and Tokenization - **NLP Techniques**: - Experience with Named Entity Recognition (NER) - Proficiency in Question Answering, Summarization, and Text Classification - **Model Handling**: - Familiarity with OpenAI models (GPT-4, GPT-3.5) and Hugging Face models (LLaMA, Mistral, Falcon, etc.) - Ability to work with custom-trained models - **Tools & Infrastructure**: - Experience with Weights & Biases, MLflow for experiment tracking - Proficiency in Docker, Kubernetes for containerization - Knowledge of Streamlit/Gradio for demos, FastAPI/Flask for APIs, and Git, CI/CD pipelines Preferred qualifications for this role include: - Graduation from Tier 1 colleges - Minimum of two years of experience in building quality applications - Strong working knowledge of Web technologies and APIs - Experience in SAAS product development would be a plus - Previous experience in IDP (Intelligent Document Processing) is desirable If you are passionate about leveraging AI to streamline document processing and are proficient in the mentioned tech stacks and skills, we encourage you to apply for this exciting opportunity at Star Software.,

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, and staying abreast of the latest advancements in LLM technology. To excel in this role, you should have at least 4 years of experience in ML/NLP and a minimum of 1 year in LLMs, be proficient in Python, PyTorch, and TensorFlow, possess expertise in LLM fine-tuning methods such as LoRA, PEFT, and QLoRA, and have practical experience with AI agents and RAG tools. Desirable qualifications for this position include familiarity with multi-modal AI applications like text-to-image and speech-to-text, knowledge of contrastive learning and RLHF, and a background in open-source contributions or AI publications. This opportunity has been presented by Aarushi Madhani on behalf of FiftyFive Technologies.,

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 Language Processing (NLP) and machine learning to develop customized AI solutions that address real-world talent intelligence challenges. The scope of your responsibilities will encompass a wide range of tasks, from data exploration and model development to evaluation and deployment, all while emphasizing the creation of robust, scalable systems utilizing cutting-edge techniques. As a Data Scientist at Prismforce, your key responsibilities will include: - Developing and fine-tuning models for Named Entity Recognition (NER), text classification, semantic similarity, and clustering - Utilizing pretrained embeddings, transformers, and Large Language Models (LLMs) to extract and standardize structured data from unstructured text - Designing and conducting experiments to assess model performance and drive enhancements - Collaborating closely with product and engineering teams to translate models into reliable, production-ready solutions - Continuously researching and exploring open-source tools to enhance performance and scalability The ideal candidate for this position should possess the following qualifications: - A minimum of 13 years of hands-on experience in applied NLP and ML - Proficiency in Python programming, along with familiarity with Pandas, Scikit-learn, PyTorch, or TensorFlow - Knowledge of modern NLP toolkits such as Spacy, HuggingFace Transformers, SBERT, among others - A solid grasp of embedding models, attention mechanisms, and evaluation metrics - The ability to deconstruct abstract problems and develop tailored, data-driven solutions Additionally, the following skills and experiences would be considered advantageous: - Prior exposure to LLM APIs, prompt engineering, or metadata generation using LLMs - Familiarity with knowledge graphs, taxonomy design, or vector databases - Contributions to open-source NLP tools or involvement in research projects within the field If you are a seasoned Data Scientist with a passion for NLP and ML, and you are eager to make a significant impact within our innovative team, we encourage you to apply and become a part of Prismforce's mission to reshape the future of talent intelligence.,

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 Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should possess a strong foundation in ML and AI principles, along with a proven track record of developing and deploying a minimum of 20+ models in these domains. If you are interested in this opportunity, please reach out to us at arshi.sheikh@sutherlandglobal.com. **Responsibilities:** - Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. - Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. - Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. - Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. - Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. - Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. - Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. - Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. **Qualifications:** - Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. - Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. - Proficiency in programming languages such as Python, along with experience in popular ML libraries like TensorFlow, PyTorch, or scikit-learn. - Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks with a demonstrable portfolio of projects. - Solid understanding of natural language processing techniques (text classification, sentiment analysis, named entity recognition, etc.). - Familiarity with computer vision concepts (image classification, object detection, image segmentation, etc.) and experience with frameworks like OpenCV or TensorFlow. - Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) is a plus. - Excellent problem-solving skills, attention to detail, and ability to work both independently and as part of a team. - Strong communication and interpersonal skills, with the capability to collaborate effectively with stakeholders across different functional areas. Join us in revolutionizing the way Sutherland harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.,

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-native environment. Solid experience in integrating AI features with frontend applications (React or similar). Ability to design clean, scalable APIs and integrate ML models into production systems. Exposure to data pipelines and unstructured text processing is a plus. Strong problem-solving, communication, and collaboration skills. Bachelors or Masters degree in Computer Science or related field. Show more Show less

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 models like BERT, GPT-3, and Transformers, as well as text preprocessing techniques including tokenization, part-of-speech tagging, lemmatization, stemming, and named entity recognition, will be highly valued. As a key member of our team, you will be expected to stay updated with the latest advancements in NLP technologies and play a crucial role in the growth and transformation of businesses. Your role will involve handling NLP tasks such as sentiment analysis, text classification, and entity recognition, while also focusing on effective stakeholder management and people leadership. Join us in changing how AI/ML is approached in the service sector and delivering outcomes that matter. Your contributions will enable businesses to grow, transform, and achieve their objectives, ultimately increasing profit and delivering improved value for customers.,

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 used in banking applications such as risk assessment, trading models, customer relationship management, and pricing models. Your responsibilities will include working on data labeling tools, collaborating with stakeholders from different departments, understanding and defining relationships among entities, transcribing audio recordings, developing workflows and guidelines for data annotation, and becoming a subject matter expert in the field. To excel in this role, you should hold a Masters in Business Management (MBA) with a finance specialization, possess 5-7 years of experience in data collection, analysis, or research, and have a strong understanding of model scoring parameters and data annotation techniques. Additionally, you should be able to work both independently and as part of a team, have a keen interest in data analytics techniques, and be familiar with industry-standard annotation methods and AI paradigms. If you are someone who is detail-oriented, motivated by complex analytical problems, and eager to contribute to the advancement of machine learning applications in the financial industry, this role offers a unique opportunity to showcase your skills and expertise while collaborating with a world-class machine learning team at JPMorgan Chase.,

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, with AWS being preferable. General requirements for the role include the ability to handle large-scale unstructured data and a willingness to learn new frameworks to stay updated with the latest NLP developments. About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 30,000 professionals, you can expect exciting projects, opportunities to work with state-of-the-art technologies, and support for your growth throughout your career with Virtusa. At Virtusa, collaboration and a team-oriented environment are highly valued. We provide a dynamic space for great minds to nurture new ideas and strive for excellence.,

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 of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,