2590 Nlp Jobs - Page 16

As an accomplished scholar with expertise in Applied Artificial Intelligence (AI), AI-driven Innovation, and Technology Commercialization, you will play a crucial role in bridging AI research with industry applications, fostering innovation, and driving AI-led entrepreneurship. **Key Responsibilities:** - Conduct high-impact research in Applied AI, commercialization, and AI-driven business models. - Develop and deliver cutting-edge courses in AI applications, innovation management, and AI commercialization. - Engage with industry to drive research collaborations, technology transfer, and commercialization of AI-based innovations. - Mentor students and guide research projects, startups, and i...

As a motivated Senior AI Engineer at OnGrid, you will play a crucial role in redefining Trust through the digital trust platform. You will collaborate with product and tech teams to drive AI strategy and R&D, develop impactful AI solutions, and integrate AI models into production systems using live data. If you are passionate about technology and eager to tackle complex challenges, this is an exciting opportunity to shape the future of digital trust and AI technologies. Key Responsibilities: - Collaborate with product and tech teams to manage and innovate AI strategy and R&D. - Contribute to impactful AI use cases for internal and client applications. - Develop AI/ML solutions for complex pr...

As a Mid-Level Python and AI Engineer at Amplework Software, your role involves assisting in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will be experimenting with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Working with both structured and unstructured data, you will collaborate with data scientists and software engineers to continuously learn, experiment, and optimize models to enhance performance and efficiency. Key Responsibilities: - Assist in building and training machine learning models using TensorFlow, PyTorch, and Scikit-Learn. - Experiment with pre-trained AI models for NLP, Compute...

As an intern at this company, your responsibilities will include: - Developing and implementing AI algorithms using Python and Machine Learning techniques - Enhancing NLP models for text analysis and sentiment analysis - Managing and optimizing database management systems for efficient data storage and retrieval - Analyzing data using SQL and Data Analytics tools to derive actionable insights - Integrating AI solutions with REST API for seamless data exchange - Deploying and managing AI models on the Microsoft Azure platform - Collaborating with cross-functional teams to drive innovation and achieve project milestones The company is building an Industry 1st AI-powered platform that seamlessl...

You will play a crucial role in leading and supporting the Quality Management and Automated Quality Management Cloud initiative product development to ensure global customer success. This will involve starting with resolving small product issues and advancing to new feature development. Once the team is established and knowledgeable, you will lead software projects from conception to deployment. As a technical leader proficient in Python, AI, and full-stack development, your responsibilities will include overseeing the design, development, and maintenance of scalable full-stack applications. Additionally, you will guide the team in writing clean, maintainable, and efficient code while also a...

You will be joining a forward-thinking team at Tecblic, a company specializing in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we welcome you to be a part of our innovative team. **Key Responsibilities:** - Conduct research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. - Optimize pre-trained LLMs for domain-specific use cases. - Collaborate with software engineers and product teams to integrate AI models into customer-facing applications. - Perform data preprocessing, pipeline...

As a Senior Machine Learning Engineer at CredArtha, you will be pivotal in transforming financial intelligence with FINA (Financial Intelligence & Neural Analyst). Your primary responsibilities will include: - **LLM Development & Optimization:** - Design, train, and fine-tune FINA using open-source LLMs like LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Employ parameter-efficient fine-tuning (PEFT) techniques to boost model efficiency while maintaining accuracy. - Integrate self-learning mechanisms to ensure continuous evolution of FINA through user interactions and real-time financial data ingestion. - **NLP & Financial Data Processing:** - Create and enhance NLP models fo...

Role Overview: As a Spend Analytics & Product Development Manager at the Gurgaon office, you will lead the end-to-end product development of spend analytics and procurement automation solutions. Your responsibilities will include implementing AI-driven sourcing and savings assessment engines across various spend categories, driving the architecture of GenAI-integrated platforms, and collaborating with clients to tailor BI dashboards for actionable insights. Moreover, you will mentor junior team members, oversee project execution, and enhance client success through program governance and risk mitigation. Key Responsibilities: - Lead the product development of SaaS-based spend optimization too...

Role Overview: As a Digital Engineering Sr Engineer at NTT DATA, you will be responsible for exercising expertise in ideating and developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Your role will involve leveraging advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. Additionally, you will need deep knowledge in statistics and Machine Learning models, deep learning models, NLP, Generativ...

As an Associate Manager - Applied Machine Learning at AVIZVA, you will play a crucial role in architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leading a team with technical expertise in machine learning, contributing to the development of Large Language Model (LLM) based products, and collaborating with cross-functional teams to deliver scalable machine-learning solutions aligned with business objectives. - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with busi...

As a Senior Software Engineer specializing in Data Science, your role will involve designing, developing, and maintaining Python-based applications with a focus on ML and AI. You will be responsible for building and optimizing ML/NLP models, integrating them into production systems, and implementing LLMs and GenAI solutions for business applications. Additionally, you will design and manage database structures to support ML applications and data pipelines, deploy and monitor ML models in cloud environments (AWS/Azure), collaborate with cross-functional teams, write clean and efficient code, participate in code reviews, troubleshoot technical issues, and stay updated with emerging trends in M...

As a highly skilled Senior Salesforce AI developer with over 6 years of experience in Salesforce CRM development and 2 years of expertise in developing AI solutions around Sales and Service Cloud using Salesforce Einstein, you will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations. **Key Responsibilities:** - Lead the design, development, and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service cloud. - Collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and autom...

As a Regional Solutions Engineer at Data Dynamics, you play a crucial role in technical pre-sales and customer management. Your responsibilities involve engaging with customers, understanding their business and technical requirements, delivering demonstrations, and evaluating the feasibility of their needs. You will collaborate with sales representatives for Proof of Concept (POC) or sales reviews, and work closely with customer success managers for existing customers. Your expertise is essential in setting up and conducting demonstrations and POCs independently, defining success criteria, and obtaining customer approval post-POC. Your interactions with customers, both new and existing, requ...

As a member of the Natural Language Query (NLQ) platform team, you will be responsible for providing Platform-as-a-Service offerings that are easy to consume, scalable, secure, and reliable using open source-based solutions. You will also play a key role in developing and enhancing the NLQ Copilot platform to meet the evolving needs of multi-tenant environments. Your responsibilities will include implementing Context builder algorithms to generate 100% accurate SQL based on customer needs and collaborating with downstream clients to integrate business requirements. Additionally, you will work closely with data scientists, engineers, and product managers to optimize the performance of the NLQ...

Role Overview: You are an experienced AI Engineer with 4-5 years of hands-on experience in designing and implementing AI solutions. Your role involves developing AI/ML-based solutions, specializing in Computer Vision (OpenCV) and deploying Large Language Models (LLMs) like GPT, LLaMA, or custom fine-tuned models. You will work on cutting-edge AI applications, collaborating with Product, Data Science, and Engineering teams to optimize AI/ML models for real-world business applications. Key Responsibilities: - Research, design, and develop AI/ML solutions for real-world business applications, ensuring RAG implementation. - Collaborate with Product & Data Science teams to define core AI/ML platf...

5+ years of hands on experience as Data scientist Good experience with LLMs Hands on experience of ML/NLP/Deep Learning and Gen AI concepts

Role Overview: You will be joining the Data Science team at BOLD where you will utilize your analytical skills and business knowledge to provide valuable insights to the Product and Management teams. Your main responsibilities will include driving product development by leveraging user data sets, discovering patterns in data, and developing predictive algorithms and models. Key Responsibilities: - Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. - Leverage rich data sets of user data to perform research, develop models, and create data products with Development & Product teams. - Deve...

About the Role : We are seeking an experienced AI/ML Developer to design, build and deploy next-generation AI solutions, with a focus on Generative AI, Deep Learning, Natural Language Processing (NLP), and Retrieval Augmented Generation (RAG). The role involves end-to-end ownership of AI/ML model development, from data ingestion to production deployment. Key Responsibilities : - Design, develop, and implement scalable AI/ML models using Deep Learning and NLP techniques. - Develop and fine-tune Generative AI models (LLMs, diffusion models, transformers) for various business use cases. - Architect and implement RAG pipelines combining large language models with vector databases and retrieval f...

Role Type : Full-time | Hands-On AI/ML Leadership Role Overview : We are seeking a hands-on AI/ML Lead who will design, develop, and deploy AI-driven lending automation solutions with a focus on NLP workflows, GenAI orchestration, and valuation process automation. This is a 50% coding and delivery role, 50% architecture and leadership role. You will work directly with our Engineering Lead, Data Engineering Team, Product Managers, and UK-based stakeholders to define, architect, and integrate AI capabilities seamlessly into our Node.js + React enterprise platform. Key Responsibilities : AI Solution Architecture & Development : - Architect and implement end-to-end AI/ML features aligned with le...

Role & responsibilities Design, fine-tune, and evaluate generative models (transformers) for tasks such as summarization, Q&A, code generation, and retrieval-augmented generation (RAG). Implement data pipelines for training & evaluation: dataset collection, cleaning, labeling, and augmentation. Develop, test, and maintain prompt engineering practices and templates; measure prompt drift and performance. Build RAG pipelines (embeddings, vector store selection, index management, retriever tuning). Containerize models and services (Docker), create reproducible deployments (FastAPI / Flask / .NET wrappers), and help deploy to staging/production (K8s, serverless, or cloud infra). Implement monitor...

Role Description: As a Senior Manager V&A Insights, you will be responsible for leading team to develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role under supervision of Director Value and Access Insights create analytics solutions to address customer needs and opportunities. Roles & Responsibilities: Provide oversight to a team of Managers, Business analysts, data scientists and engineers on developing and deploying AI solutions Assume the role of business owner and manage the Proprietary AI algorithms built to support Pricing and overall GTN programs Develop and maintain pricing ela...

As a Sr. Technical Lead - Applied AI, you will be responsible for evangelizing the latest AI research and guiding the strategic architectural direction of AI modeling and implementation efforts. Your main tasks will include evaluating and fine-tuning large language models (LLMs), automating processes based on customer needs, and staying up-to-date with developments in reinforcement learning with human feedback (RLHF) to apply this knowledge practically. You will work collaboratively with stakeholders and various IT teams within the company to design and develop ML/AI solutions. Your responsibilities will involve defining, designing, and delivering ML architecture patterns operable in native ...

As a leading digital transformation firm with an 18-year legacy of excellence, Sundew is seeking an AI Engineer to contribute to designing, building, and deploying AI-driven solutions using ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Required S...

As a Python AI/ML Developer at our company, you will be a crucial part of the Innovations Team, focusing on cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. Your responsibilities will include designing, developing, and deploying scalable AI/ML solutions, building data pipelines, and integrating AI models into backend services using Python. Collaboration with cross-functional teams and staying current with advancements in AI/ML will also be key aspects of your role. Key Responsibilities: - Design, develop, and deploy scalable AI/ML solutions and prototypes. - Build data pipelines, clean datasets, and engineer features for training models. - Apply de...

As an AI/ML Engineer at the company, you will play a crucial role in designing and deploying intelligent systems that harness the power of machine learning and artificial intelligence to address real-world challenges. Your responsibilities will include: - Designing and implementing machine learning models and algorithms for diverse applications like prediction, classification, NLP, and computer vision. - Analyzing and preprocessing extensive datasets to establish reliable training pipelines. - Staying abreast of the latest AI/ML advancements through research and incorporating relevant techniques into projects. - Training, fine-tuning, and optimizing models to enhance performance and scalabil...