2597 Nlp Jobs - Page 21

As a Media Solution Architect at Paragon, your primary role will be to lead the strategic design of AI-driven and automation-centric solutions across digital media operations. This involves architecting intelligent, scalable systems to enhance efficiency across various processes including campaign setup, trafficking, reporting, QA, and billing. Key Responsibilities: - Identify and assess opportunities to apply AI/ML and automation in media operations workflows, such as intelligent campaign setup and anomaly detection in QA. - Design scalable, intelligent architectures using machine learning models, RPA, Python-based automation, and media APIs like Meta, DV360, and YouTube. - Develop or integ...

You are a Senior Python Developer with expertise in AI/ML frameworks, data engineering, and scalable application development. You will be working on high-velocity AI/ML projects involving predictive analytics, recommendation engines, and generative AI platforms. Your responsibilities include: - Design & Develop: Building robust Python-based applications for AI/ML, data processing, and automation. - Model Integration: Implementing, fine-tuning, and deploying ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. - Data Engineering: Working with structured/unstructured datasets, building pipelines (ETL, real-time streaming), and optimizing data processing. - Fast Iterations: Deliv...

As an AI/ML Engineer at our company, you will be responsible for designing, training, and deploying machine learning models. Your role will involve collaborating with product and engineering teams to ensure scalable integration of AI models into real-world applications. This position is ideal for individuals with a strong background in NLP, deep learning, and reinforcement learning, who are eager to work on cutting-edge AI projects at scale. **Key Responsibilities:** - Design, train, and fine-tune ML/DL models with a focus on transformers, SLMs, LLMs, and recommender systems. - Implement RAG pipelines using vector databases such as Pinecone, Weaviate, FAISS, and frameworks like LangChain or ...

Title: Manager Data Science Location - Hyderabad (Work from Office) Role Overview: As Director - Data Science you will be leading one or more client projects to deliver various Advance Analytic solutions. (S)he would be working directly with the clients and guide the team in building a robust solution solving clients business problem as per agreed timelines through application of business knowledge, project management and technical expertise. What You will do: We expect you to manage a team and work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms. You will be responsible for developing propriet...

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for: - Having 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Being an immediate joiner, able to start immediately or within a very short notice period. - Demonstrating expert-level proficiency with mlFlow, Seldon, and Kubeflow MLOps tools. - Possessing strong practical experience with Databricks and Tecton (or similar feature stores) for Data & Feature Engineering. - Having deep knowledge of AWS services for computing, storage, networking, and security for Cloud & Infrastructure. - Showing proven ability to build and manage automated pipelines using Jenkins ...

Role Overview: As a Machine Learning Engineer / Data Scientist at our company, your role as a Team Manager involves managing client expectations and collaborating with stakeholders to meet customer requirements effectively. Key Responsibilities: - Develop machine learning models to support recommendation systems and NLP projects. - Provide actionable insights for product and service optimization. - Build and maintain scalable ETL pipelines and optimize data storage solutions (data lakes, columnar formats). - Ensure data accuracy and reliability for analytics. - Analyze complex datasets to uncover trends and patterns. - Generate and present insights that drive strategic decisions and enhance ...

We are looking to hire a data scientist who has worked in data science technologies such as Python, Machine Learning, NLP, Text Mining and unservised learning. He should have experience in developing and scaling data science applications

Role & responsibilities Build solutions using LLMs/ GenAI / AI / ML. Conduct thorough analysis of healthcare revenue cycle processes, including patient registration, prior authorization, billing, coding, claims processing, payment posting, and AR follow up. Identify areas of inefficiency within the revenue cycle and develop data-driven recommendations for process improvement. Work on multiple work-streams including data manipulation, automation and analyzing large data sets to find useful relationships, trends and generate ideas that impact overall profitability of the business. Analyze data to create opportunity / impact estimates, detailed process maps, root cause analysis, identify and pr...

EY- Assurance Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-...

Title: Manager Data Science Location - Hyderabad (Work from Office) Role Overview: As Director - Data Science you will be leading one or more client projects to deliver various Advance Analytic solutions. (S)he would be working directly with the clients and guide the team in building a robust solution solving clients business problem as per agreed timelines through application of business knowledge, project management and technical expertise. What You will do: We expect you to manage a team and work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms. You will be responsible for developing propriet...

• Proficiency with Python (Pandas, NumPy), SQL & Java • Experience with LLMs, Lang Chain, & Generative AI technologies • Familiarity with ML frameworks (TensorFlow, PyTorch) & data engineering tools (Spark, Kafka) • Build ML, NLP & recommender models Required Candidate profile • Understanding of key data engineering concepts like data lakes, columnar formats, ETL tools, & BI tools • ML, NLP, Recommender system, personalization, Segmentation, microservice architecture & API

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

As a Senior Manager in Java Development, you will be responsible for managing software projects for the development and maintenance of enterprise-class business IT applications in the Banking domain. Your expertise in SDLC Methodologies (Waterfall/Agile), estimation techniques, project planning using tools like Microsoft Project, risk management, and stakeholder management will be crucial for the success of the projects. You should possess a good understanding of the architecture of enterprise applications to troubleshoot environment issues effectively. Your hands-on experience in Java and J2EE platforms, including Spring, design patterns, Angular, UI frameworks, CI-CD, and Microservices Arc...

As a Data Analyst Intern at our company, you will play a crucial role in gathering business challenges and documenting them. Your responsibilities will include collating, interpreting data, and analyzing results using statistical techniques and tools. Additionally, you will work closely with the team to prioritize business and information needs. It will be your responsibility to present solutions and insights regarding the data, as well as analyze data for trends and interpret patterns with a clear objective in mind. Qualifications and Skills required for this role include: - Interest in working in a startup culture/ecosystem - Willingness to learn with a "Never Die" attitude - Ability to wo...

In this role, you will be responsible for solving complex data problems using deep learning techniques in either computer vision or natural language processing. Your main tasks will include delivering production-ready models for deployment, meeting project requirements and timelines, identifying success metrics, and monitoring them to ensure high-quality output for the client. Additionally, you will be expected to share your ideas and learnings with the team. Key Responsibilities: - Solve complex data problems using deep learning techniques in computer vision OR natural language processing - Deliver production-ready models for deployment - Meet project requirements and timelines - Identify s...

Role: Applied Machine Learning Engineer Location: Noida(Work from office) Shift: US Shift Team: AI & Innovation Reports to: VP of Artificial Intelligence Your Role At BIG Language Solutions, we're shaping the future of multilingual communication through cutting-edge AI. As an Applied Machine Learning Engineer, you'll be instrumental in designing, building, and scaling ML-driven capabilities that enhance our translation, localization, and linguistic intelligence products. You will work across data science, engineering, and product teams to bring research into production and help us automate, augment, and accelerate human translation. This role is perfect for someone who thrives on experimenta...

Role Overview: You will be working as a Data Science Lead, responsible for leading a team of analysts and data scientists/engineers to deliver end-to-end solutions for pharmaceutical clients. Your primary focus will be on participating in client proposal discussions, providing thought leadership for technical solutions, and overseeing all phases of model development. Additionally, you will be expected to gain a deep understanding of statistical and machine learning methods, as well as keeping the team up to date on the latest trends in ML and AI. Key Responsibilities: - Lead a team to deliver end-to-end solutions for pharmaceutical clients - Participate in client proposal discussions and pro...

As a Data Scientist at Agoda, you will have the opportunity to work on challenging machine learning and big data platforms, processing 600 billion events daily and making 5 billion predictions. Your role in the Data Science and Machine Learning team will involve working on real-world challenges such as dynamic pricing, predicting customer intents in real time, ranking search results, classifying content from unstructured data, making personalized recommendations, and innovating the user experience. **Role Overview:** - Design, code, experiment, and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. - Mine a big...

As a Data Scientist at Codvo, you will be responsible for leveraging your advanced knowledge of statistical techniques, NLP, machine learning algorithms, and deep learning frameworks like TensorFlow, Theano, Keras, Pytorch. Your proficiency with modern statistical modeling, machine learning methodologies, and optimization techniques will be key in building complex predictive models using ML and DL techniques with production quality code. You will collaborate with the Data Engineering team to jointly own complex data science workflows. Your technical skills should include familiarity with modern data analytics architecture, data engineering technologies, REST APIs, Web Services, and experienc...

Job Description: You should have at least 5+ years of experience and expertise in Python, R, Java, or similar programming languages. Additionally, you should have expertise in Oracle SQL, PLSQL, and a good understanding of the Oracle Database Landscape and Vector DB. Proficiency in frameworks like LangGraph, PyTorch, or scikit-learn is required. Your strong knowledge should encompass deep learning, NLP, computer vision, and reinforcement learning. Key Responsibilities: - Gain a good understanding of Oracle Databases, SQL, and Pl-SQL code. - Work on AI/ML Development by designing, developing, and implementing scalable machine learning models and AI systems. - Research and apply state-of-the-a...

Role Overview: As an Analyst, your role will involve gathering, interpreting, and utilizing data to support business decisions, identify trends, and provide actionable insights. You will play a crucial part in improving performance and driving strategic initiatives within the organization. Key Responsibilities: - Collect, process, and analyze data from various internal and external sources. - Develop and maintain dashboards, reports, and Key Performance Indicators (KPIs). - Analyze complex datasets to identify trends, patterns, and opportunities. - Provide clear, concise, and actionable insights to stakeholders. - Support strategic planning, forecasting, and business decision-making. - Colla...

Role Overview: You will be leading the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. Your role involves translating complex business challenges into high-impact AI/ML solutions, building an AI innovation pipeline, leading a technical team, and defining architecture for secure, ethical, and performant AI systems. Key Responsibilities: - Establish and own the Generative AI Stack, including LLMs and RAG systems - Lead LLM development, training, and optimization - Design and enforce enterprise-level data architecture and governance strategy - Direct the implementation of LLMOps and MLOps practices for seamless deploym...

As a Junior AI/ML Developer at SwaaS, you will have the exciting opportunity to work on cutting-edge AI-driven solutions and contribute to the development of innovative technologies. Your role will involve the following key responsibilities: - Assist in developing AI-driven solutions using LLMs such as ChatGPT and Perplexity.ai, as well as RAG (Retrieval-Augmented Generation). - Work on intent extraction and chatbot development by integrating APIs like OpenAI or LLama. - Support the design and testing of AI-enhanced workflows to enhance user experiences. - Implement database interactions using MySQL or PostgreSQL for structured data storage. - Write and optimize Python/Node.js scripts to enh...

As a Data Scientist at Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE, your role will involve: - Designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python - Demonstrating competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests - Experience in dealing with outliers, denoising data, and handling the impact of pandemic like situations - Performing Exploratory Data Analysis (EDA) of raw data & feature engineering where applicable - Competency in Data Visualization using the Python/R Data Science Stack - Leveraging cloud platforms ...

Role Overview: As a Generative AI Expertise, you will be expected to have in-depth knowledge of various Generative AI techniques such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. It is essential to have experience in both image and text generation. You should be conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Additionally, exposure to both API-based and open-source LLMs-based solution design is required. Key Responsibilities: - Lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages from probl...