38 Nlp Models Jobs - Page 2

As a Social Media Analyst at C5i, you will be responsible for leveraging social media listening tools to conduct timely research and reporting on consumer insights, trends, competitive analysis, product insights, and emerging consumer tensions. By combining these findings with other digital data sources, you will identify strategic recommendations and create persuasive presentations. Your role will involve understanding business objectives and measurement requirements to guide decisions, define KPI measurements, and offer insightful recommendations. You will develop a strategic social reporting and analytics cadence by identifying key areas of measurements, optimizations, and benchmarks. Fur...

About the Role We are seeking a highly skilled Senior NLP Engineer with expertise in large language models (LLMs), prompt engineering, and transformer-based architectures. The ideal candidate will have strong experience fine-tuning, deploying, and optimizing advanced NLP models for real-world applications such as summarization, text generation, and question answering. You will collaborate with cross-functional teams to design scalable, production-ready solutions while addressing challenges such as bias, hallucinations, and knowledge cutoffs. Key Responsibilities: Fine-tune pre-trained models on domain-specific datasets to optimize for summarization, text generation, question answering, and r...

You will be responsible for performing a variety of moderately complex risk analytics with a focus on AI/ML models. Your role will involve resolving moderately complex issues in advanced data modeling and measuring risk. You will provide effective challenge to the models by evaluating model-related risks including input data, model assumptions and limitations, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring, and model implementation. This position requires a combination of strong quantitative skills and AI/ML technical knowledge. Your major duties will include validating Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) models indep...

As a Program Analyst at the World Bank based in Chennai, India, you will have the opportunity to contribute to addressing global development challenges. The World Bank Group is committed to ending extreme poverty, promoting sustainable development, and increasing shared prosperity in developing countries through innovative projects and data-driven solutions. In the Global Corporate Solutions division, you will be part of a dynamic team supporting Corporate Services within the organization. This division oversees a diverse range of services, including Travel and Visa Services, Food and Conference Services, Staff Services, Mail and Shipping Services, and more. As a Program Analyst, you will wo...

This role is for one of the Weekday's clients. We are an innovative company at the forefront of AI-driven solutions, specializing in cutting-edge technologies to solve real-world problems. We are seeking a talented and passionate Computer Vision Engineer with expertise in both Computer Vision and Natural Language Processing (NLP) to join our dynamic team. Key Responsibilities: Develop and implement state-of-the-art computer vision algorithms for image and video processing tasks such as object detection, image segmentation, feature extraction, and recognition. Design, build, and deploy NLP models for tasks such as text recognition from images (OCR), sentiment analysis, and text classification...

As an AI/ML Engineer Generative AI Specialist with over 5 years of experience, you will be expected to possess the following must-have skills: You should have a strong background in AI/ML frameworks such as PyTorch, TensorFlow, and proficient in Python programming. Your experience with AWS services, specifically AWS Bedrock and Lambda functions, will be crucial. Hands-on expertise in LangChain components (agents, chains, memories, parsers, document loaders), developing and optimizing GenAI, NLP models, and CrewAI is essential for this role. You should be capable of building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Ll...

Design, implement, and optimize NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and language generation. - Utilize libraries such as NLTK, SpaCy, TensorFlow, or PyTorch for model development. Preprocess and clean large datasets, ensuring data quality and integrity for NLP applications. - Develop scripts to automate data extraction, transformation, and loading (ETL) processes. Work closely with data scientists, analysts, and other stakeholders to understand project requirements and deliver effective NLP solutions. - Collaborate in an Agile environment, participating in sprint planning and code reviews. Analyze and improve the performance of exis...

Key Responsibilities: Hands-on Development: Develop and implement machine learning models and algorithms , including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs , and frameworks such as LangChain and Hugging Face, Agentic AI . Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn . Design and deploy NLP models and techniques , including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deploym...

As an LLM Expert with 3+ years of experience, you should have a strong background in designing and tuning advanced models. You must have at least 3 years of experience in LLM, NLP Models, and Machine Learning, along with 2.5 years of experience in AI. Excellent communication skills are essential for this role, as well as previous experience in team handling. Professionals with backgrounds such as Datascientist, Data Annotator AI, and AI Engineer are encouraged to apply. This position is based in Bangalore and is a full-time role with a day shift schedule. The work location is in person.,

Title: Senior Data Scientist Years of Experience : 8+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description The Senior Data Scientist will lead the development and implementation of advanced analytics and AI/ML models to solve complex business problems. This role requires deep statistical expertise, hands-on model building experience, and the ability to translate raw data into strategic insights. The candidate will collaborate with business stakeholders, data engineers, and AI engineers to deploy prod...

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.

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.

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.