2582 Nlp Jobs - Page 11

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthca...

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driv...

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-h...

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Sc...

Job Position :Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India.Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description :We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-hand...

Strong background in LLMs, NLP, and RAG pipelines. Experience with Microsoft Presidio for PII detection and tokenisation (optional). Skilled in integrating multiple LLM providers (Azure OpenAI, OpenAI, Meta, etc). Required Candidate profile Ability to optimise LLM performance and cost in production workloads. Strong coding skills in Python. Knowledge of prompt engineering and secure AI pipeline design. Immediate or 15-Day Notice

Hiring Python Developer to design, develop & optimize AI models. Work on evaluations, SFT, RLHF, dataset creation & model tuning. Contribute to scalable solutions, improve performance & collaborate with AI teams Required Candidate profile Python Developer with 3+ yrs exp, strong coding & analytical skills. Must know AI evals, model training, SFT/RLHF, data handling & problem solving Excellent English writing, attention to detail GitHub

Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business Partnering on the design and implementation of statistical data quality procedures for existing and new data sources Communicating complex data science solutions, concepts, and analyses to team members and business leaders Presenting data insights & recommendations to key stakeholders Establishing links across existing data sources and finding new, interesting data correlations Ensuring testing and validation are components of all analytics solutions Skills : Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling Proficie...

Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on be...

Description: Overall 4+ Yrs of experience 3+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, and computer vision solutions. Demonstrated 3+ years hands-on experience with Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Spark . Python proficiency is required. 3+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 2+ years experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings....

As a Machine Learning Engineer specializing in Image Processing, your role involves understanding business challenges, goals, constraints, variables, and parameters. You will design and build Machine Learning applications to meet business process and application requirements. Key Responsibilities: - Develop deep learning and processing algorithms, including ETL, with a minimum of 2-3 years of expertise - Stay updated with state-of-the-art research papers and implement ML algorithms based on them - Collaborate with teams to integrate ML code on various platforms - Proficient in programming languages like C++ or Python - Experience in research related to Computer Vision, NLP, or time series da...

As a Technical Lead in Data Science, you will play a crucial role in designing, developing, and maintaining Python-based applications with a focus on ML and AI. Your responsibilities will include 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), and collaborate with cross-functional teams to deliver effective solutions. Your role will also involve writing clean, efficient, and well-documented code, participating in code revi...

As a Full-Stack AI Developer specializing in Generative AI and Large Language Models (LLMs), you are responsible for designing and developing AI-driven applications. Your role entails leveraging comprehensive full-stack skills, encompassing front-end design, backend AI model training and deployment, and scalable infrastructure management. Key Responsibilities: - Create intuitive and user-friendly interfaces for AI-powered applications. - Utilize modern web frameworks like React and Vue.js to develop responsive UI/UX. - Optimize front-end performance and ensure cross-browser compatibility. - Develop robust and scalable backend systems for AI model deployment. - Design and maintain RESTful API...

As an experienced AI/ML Architect with over 8 years of hands-on AI/ML architecture experience, you are looking to join our team as a key member of the COE department. With a Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields, you will be responsible for leading the design and implementation of AI/ML solutions across various industry domains. Your role will involve acting as a trusted advisor to clients, understanding their business challenges, and developing scalable AI/ML strategies aligned with their vision. - Engage with enterprise customers and stakeholders to gather business requirements - Translate challenges into effective AI/ML solu...

Job Description: As a Qualcomm Software Engineer, you will be responsible for designing, developing, creating, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. You will collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. Key Responsibilities: - Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies for Data Engineering & Infrastructure. - Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Sciki...

Role Overview: You should have 8+ years of experience in leading end-to-end delivery of Gen AI solutions across manufacturing and administrative domains. Your role will involve architecting AI models using NLP, LLMs, and generative technologies tailored for industry-specific use cases. You will engage with clients to understand their business needs and translate them into technical requirements. Additionally, you will be responsible for mentoring and guiding technical teams and junior consultants on Gen AI implementation. Collaboration with cross-functional teams for solution integration and deployment will be essential. You must ensure the quality, scalability, and compliance of AI solution...

Job Description: As a candidate at Applied Materials, you will lead a team of data scientists providing analytics services for the company's installed base. Your responsibilities include developing new service capabilities, piloting and commercializing them, collaborating with various teams, and training end-users. Your team's expertise will cover various areas such as statistical analysis, AI/ML, data visualization, and process automation. You should be open to adopting the semiconductor industry for your career growth. Key Responsibilities: - Manage completion of assignments, projects, and programs supporting Applied's service business - Develop roadmaps for algorithmic development program...

As a Lead Engineer specializing in AI/ML at our company, you will play a crucial role in enhancing the current platform with AI/ML capabilities for Big data. Your key responsibilities will include: - Solutioning for the identified use cases to effectively implement AI/ML capabilities - Collaboration with the larger AI/ML stream across the data organization to ensure seamless integration - Utilizing your in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications - Contributing to the formulation of strategies for applications development and other functional areas - Developing comprehensive knowledge of how areas...

As a Data Science Trainer/Faculty at Blitz Academy, you will play a crucial role in delivering high-quality training sessions in Data Science, Machine Learning, and Python Programming. Your passion for mentoring will be key as you contribute to academic and real-world development projects. - Design and conduct interactive training sessions on Python, Data Science, Machine Learning, Deep Learning, and related technologies. - Develop curriculum, tutorials, assignments, and evaluation tools tailored for students at different learning levels. - Provide individual mentorship and support to students to help them build strong foundational and practical knowledge. - Stay updated with the latest indu...

You will be working as an Associate QA Tech Lead at RockWallet, responsible for ensuring the quality and reliability of software products. Your role will involve overseeing a team of testers, planning and executing testing strategies, and collaborating with development teams to meet company standards and end-user requirements. The ideal candidate for this position should have experience in mobile app testing on both iOS and Android platforms and should thrive in a startup work culture. - Develop and implement test plans for various testing phases, including unit, integration, system, and acceptance testing. - Ensure test coverage and compatibility across different environments, especially fo...

Key Skills: AI/ML, NLP Roles and Responsibilities: Design, develop, and optimize NLP-driven AI solutions using advanced models and techniques (NER, embeddings, summarization). Build and productionize Retrieval-Augmented Generation (RAG) pipelines and agentic workflows for intelligent, context-aware applications. Fine-tune, prompt-engineer, and deploy Large Language Models (LLMs) such as OpenAI, Anthropic, Falcon, and LLaMA for domain-specific use cases. Collaborate with data scientists, backend engineers, and cloud architects to develop scalable AI-first systems. Evaluate and integrate third-party APIs, open-source frameworks, and models for generative AI use cases. Continuously monitor and ...

Develop and fine-tune models using frameworks like Transformers (Hugging Face), OpenAI, LangChain, etc. Integrate models into scalable applications using Python and appropriate APIs or SDKs. Work on prompt engineering, embeddings, vector databases, and LLM orchestration. Analyze large datasets and apply appropriate NLP techniques (e.g., NER, sentiment analysis, summarization, Q&A systems). Stay current with the latest research and developments in LLMs and Generative AI. Collaborate with cross-functional teams including data scientists, ML engineers, backend developers, and product managers. Optimize models for inference performance and cost-efficiency. Good to have- Healthcare knowledge Loca...

Role: Senior Machine Learning Engineer Experience Level: 3 to 6 years Location: Mumbai / Bangalore (hybrid) Role & Responsibilities: Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. AI Work...

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and ...

Develop and fine-tune models using frameworks like Transformers (Hugging Face), OpenAI, LangChain, etc. Integrate models into scalable applications using Python and appropriate APIs or SDKs. Work on prompt engineering, embeddings, vector databases, and LLM orchestration. Analyze large datasets and apply appropriate NLP techniques (e.g., NER, sentiment analysis, summarization, Q&A systems). Stay current with the latest research and developments in LLMs and Generative AI. Collaborate with cross-functional teams including data scientists, ML engineers, backend developers, and product managers. Optimize models for inference performance and cost-efficiency. Good to have- Healthcare knowledge Loca...