127 Nlp Techniques Jobs - Page 2

As a Generative AI Architect at EXL, you will be responsible for designing and deploying intelligent solutions leveraging Large Language Models (LLMs) and advanced NLP techniques. Your role will involve architecting modular GenAI solutions, designing agent-based systems, developing cloud-native AI platforms, and prototyping NLP tools. You will collaborate with cross-functional teams to drive successful AI solution delivery and continuously evaluate LLMs, agent orchestration tools, and GenAI platforms. Key Responsibilities: - Architect modular GenAI solutions using LLMs (e.g., GPT, Claude, LLaMA, Mistral) with a focus on LangChain, LangGraph, and RAG. - Design and implement agent-based system...

Role Overview We are seeking a hands-on AI/ML Engineer with proven expertise in designing, building, and deploying intelligent chatbots. The ideal candidate will not only be technically strong but also capable of leading a small team of junior engineers, setting technical direction, and ensuring high-quality delivery. Key Responsibilities Architect, design, and implement AI-driven chatbot solutions using state-of-the-art frameworks (e.g., Rasa, Dialogflow, LangChain, LLM APIs). Apply Natural Language Processing (NLP) and Machine Learning techniques for intent classification, entity recognition, and conversation management. Lead end-to-end chatbot development lifecycle from data preparation a...

As a Senior Specialist - Software Development (Artificial Intelligence) at Accelya, your role will involve leading the design, development, and implementation of AI and machine learning solutions to address complex business challenges. You will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making. Key Responsibilities: - Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. - Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. - Implement advanced algorithms for supervised and unsupervis...

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. **Role Overview:** As a Senior AI Engineer at EY, you will be responsible for designing, developing, and implementing AI models and algorithms to solve complex problems and enhance products and services. Collaborating with cross-functional teams, you will translate business requirements into technical solutions and create intelligent systems...

In this role at PwC, you will be part of the data and analytics engineering team, where you will focus on utilizing advanced technologies to develop robust data solutions for clients. Your main responsibility will be transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Additionally, as part of the data science and machine learning engineering team, you will leverage advanced analytics and machine learning techniques to extract insights from large datasets, enabling data-driven decision-making. Your tasks will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex busin...

As a Data Scientist specializing in AI/ML, you will be responsible for the following: - Collaborating with Product Managers, Architects, and Engineering Leadership to conceptualize, strategize, and develop new products centered around AI/ML initiatives. - Developing, driving, and executing the long-term vision and strategy for the Data Science team by working with multiple teams and stakeholders across the country. - Architecting, designing, and developing large-scale machine learning systems. - Developing Neural Network models for information extraction from mortgage documents using Computer Vision and NLP techniques. - Performing ad-hoc analysis and presenting results in a clear manner to ...

As a CDP & Marketing Analytics Specialist, you will play a crucial role in driving data-driven decision-making and enabling hyper-personalized marketing at scale. Your responsibilities will include: - Designing and implementing end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified Customer Data Platform (CDP). - Building and maintaining real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc. - Designing and implementing composable CDPs leveraging modern data platforms like Snowflake, Databricks, and similar technologies. - Developing and deploying AI/ML-driven customer segmentation mo...

Job description Design, develop, and deploy generative AI models. Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modelling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and...

Job Description: You are sought after as a Data Scientist with a minimum of 5 years of experience and a solid background in Python programming and Generative AI (GenAI). Your expertise in working with GenAI models like Gemini/OpenAI, Vertex AI, BigQuery NLP, and implementing RAG-based solutions is crucial for this role. Your familiarity with GCP/Azure and modern MLOps tools will be beneficial in this position. Key Responsibilities: - Develop and implement AI/ML solutions utilizing GenAI (Gemini/OpenAI) and Vertex AI - Construct RAG (Retrieval Augmented Generation) based solutions incorporating Vector DBs, chunking, and embedding techniques - Establish and manage CI/CD pipelines for model dep...

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled ...

As a Mid-Level LLM Application Developer at Dentsu Creative, you will be responsible for designing and developing intelligent applications using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to implement innovative AI solutions and create scalable solutions such as chatbots, knowledge assistants, and RAG-based systems. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Construct end-to-end Retrieval-Augmented Generation (RAG) pipelines with vector databases and semantic search tools. - Develop conversational agents and virtual assistants with frameworks like LangChain or LlamaI...

As a Specialist IS Business Systems Analyst with Amgen, you will play a crucial role in supporting the delivery of emerging AI/ML capabilities within the Neural Nexus program. Your primary responsibilities will include collaborating with the Commercial Technology Data & Analytics team to design, implement, and iterate on a layered ecosystem focused on Data, Insights, Action, and Learning (DIAL). - Collaborate with Engineering and Product Management within the Scaled Agile Framework (SAFe) to shape roadmaps, prioritize releases, and maintain a refined product backlog. - Contribute to backlog management by breaking down Epics into Features and Sprint-ready User Stories, ensuring clear articula...

As a GenAI Lead, you will be responsible for leveraging your expertise in Generative AI, machine learning, and natural language processing (NLP) to design and implement innovative AI-driven solutions. Your role will involve leading the design and implementation of end-to-end Generative AI solutions, ensuring scalable, robust, and efficient architecture that aligns with business needs. Additionally, you will develop and execute strategies for data collection, cleaning, transformation, and integration for AI model development, applying best practices for data pipeline design and optimization. You will design and implement intelligent AI agents using advanced techniques in NLP and machine learn...

Role Overview: Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, you will equip customers to generate sophisticated new insights from big data. Join the team in Bangalore as a Data Science Advisor to do the best work of your career and make a profound social impact. Key Responsibilities: - Play a key rol...

As a Data Scientist with a minimum of 5 - 8 years of experience in Data Science and Machine Learning, your expertise should encompass a deep understanding of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques. You must be well-versed in programming languages like Python and frameworks such as TensorFlow or PyTorch. Additionally, a solid grasp of NLP techniques and frameworks like BERT, GPT, or Transformer models is essential. Your role will involve working with cloud platforms like Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Proficiency in data engineering, including data curation, cleaning, and preprocessing, is crucial. It is imp...

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG pipelines ...

Role Overview: Yubi, formerly known as CredAvenue, is seeking a skilled Lead Data Scientist to join their team and contribute to building Collection Campaign Recommendations/Optimizations. As a Lead Data Scientist, you will play a key role in designing, developing, and deploying ML/RL models to enhance and optimize collection campaigns across digital, telecalling, and field channels. Your expertise in machine learning, along with strong Python programming skills, will be instrumental in driving innovation and creating business value for clients. Key Responsibilities: - Develop, implement, and maintain advanced analytical models and algorithms focused on improving debt collection processes. -...

As a Lead AI Developer at Aumento Technologies & Consulting Services Pvt Ltd, you will play a crucial role in bridging business requirements with cutting-edge AI solutions. You will independently design, develop, and deploy enterprise-grade AI systems, including RAG (Retrieval-Augmented Generation) based applications. **Key Responsibilities:** - Collaborate with business stakeholders to identify and scope AI/ML/GenAI opportunities - Lead development of RAG-based AI solutions, integrating LLMs with enterprise data sources - Design and implement data pipelines, embeddings, and vector databases for retrieval-based systems - Build and optimize machine learning, deep learning, NLP, and generative...

As a Senior Consultant at Kroll, you will be a part of the Decision Intelligence Services team, contributing to seamless analytical advisory services throughout the deal continuum. Your expertise in Artificial Intelligence, Machine Learning, Deep Learning, and LLM models for Generative AI, text analytics, and Python Programming will play a crucial role in scaling the Data, Analytics, and AI team. You will be responsible for offering industry/sector solutions and building automation tools to accelerate due diligence, data-driven insights, and optimization models. **Key Responsibilities:** - Build, review, and implement solutions using AI/GenAI, ML, and deep learning techniques, and develop AP...

Role Overview: We are looking for a Data Scientist with a strong foundation in data analysis, exploratory data analysis (EDA), and applied statistics. The ideal candidate should have experience working with Python, SQL, and key data science libraries for data wrangling, visualization, and model building. Key Responsibilities: 4-6 years of experience Design, build, and deploy machine learning and generative AI models. Work with large datasets to extract insights and build predictive/analytical solutions. Apply NLP, LLMs, and GenAI frameworks to real-world use cases. Collaborate with cross-functional teams to identify business needs and deliver AI-driven solutions. Fine-tune pre-trained models...

As an Observability Developer at GlobalLogic, you will play a crucial role in alert configuration, workflow automation, and AI-driven solutions within the observability stack. Your responsibilities will involve designing and implementing alerting rules, configuring alert routing and escalation policies, building workflow integrations, developing AI-based solutions, collaborating with teams, and automating alert lifecycle management. Here's a breakdown of your role: **Role Overview:** You will be a proactive and technically versatile Observability Developer responsible for ensuring actionable alerts, well-integrated workflows, and AI-enhanced issue resolution within the observability stack. *...

As a software engineer with 5+ years of professional experience in machine learning, natural language processing, and data science, you will be responsible for the following key responsibilities: - Demonstrate a strong understanding and hands-on experience with AI technologies such as ML, DL, NLP, and RL. - Utilize your expertise in data science principles and processes to work with NLP, LLMs, deep learning, and typical data used in such models. - Apply NLP techniques for text representation, semantic extraction, data structures, and modeling. - Utilize your strong programming skills in languages like Python, R, or Scala. - Proficiently work with popular deep learning frameworks like TensorF...

As an Observability Developer at GlobalLogic, you will play a crucial role in alert configuration, workflow automation, and AI-driven solutions within the observability stack. Your responsibilities will include designing and implementing alerting rules, configuring alert routing and escalation policies, building workflow integrations, developing AI-based solutions, collaborating with cross-functional teams, and automating alert lifecycle management. **Key Responsibilities:** - Design and implement alerting rules for metrics, logs, and traces using tools like Grafana, Prometheus, or similar. - Configure alert routing and escalation policies integrated with collaboration and incident managemen...

Ready to build the future with AI At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G...

As an experienced AI Architect, your role will involve leading the design, development, and deployment of large-scale AI solutions. You will be responsible for bridging the gap between business requirements and technical implementation, with a focus on generative AI and modern MLOps practices. Key Responsibilities: - Architect end-to-end AI systems utilizing large language models and generative AI technologies - Design scalable, production-ready AI applications that align with business objectives and performance requirements - Evaluate and integrate LLM APIs from leading providers such as OpenAI, Anthropic Claude, and Google Gemini - Establish best practices for prompt engineering, model sel...