434 Tokenization Jobs - Page 16

AI Agent Development - Python (CrewAI + LangChain) Location: Noida / Gwalior (On-site) Experience Required: Minimum 3+ years Employment Type: Full-time 🚀 About the Role We're seeking a AI Agent Developer (Python) with hands-on experience in CrewAI and LangChain to join our cutting-edge AI product engineering team. If you thrive at the intersection of LLMs, agentic workflows, and autonomous tooling — this is your opportunity to build real-world AI agents that solve complex problems at scale. You’ll be responsible for designing, building, and deploying intelligent agents that leverage prompt engineering, memory systems, vector databases, and multi-step tool execution strategies. 🧠 Core Responsibilities Design and develop modular, asynchronous Python applications using clean code principles. Build and orchestrate intelligent agents using CrewAI: defining agents, tasks, memory, and crew dynamics. Develop custom chains and tools using LangChain (LLMChain, AgentExecutor, memory, structured tools). Implement prompt engineering techniques like ReAct, Few-Shot, and Chain-of-Thought reasoning. Integrate with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities. Use semantic search and vector stores (FAISS, Chroma, Pinecone, etc.) to build RAG pipelines. Extend tool capabilities: web scraping, PDF/document parsing, API integrations, and file handling. Implement memory systems for persistent, contextual agent behavior. Leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deploy containerized applications using Docker, Git, and modern Python packaging tools. 🛠️ Must-Have Skills Python 3.x (Async, OOP, Type Hinting, Modular Design) CrewAI (Agent, Task, Crew, Memory, Orchestration) – Must Have LangChain (LLMChain, Tools, AgentExecutor, Memory) Prompt Engineering (Few-Shot, ReAct, Dynamic Templates) LLMs & APIs (OpenAI, HuggingFace, Anthropic) Vector Stores (FAISS, Chroma, Pinecone, Weaviate) Retrieval-Augmented Generation (RAG) Pipelines Memory Systems: BufferMemory, ConversationBuffer, VectorStoreMemory Asynchronous Programming (asyncio, LangChain hooks) DSA / Algorithms (Graphs, Queues, Recursion, Time/Space Optimization) 💡 Bonus Skills Experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics) Familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring) DevOps familiarity (Docker, GitHub Actions, Pipenv/Poetry) 🧭 Why Join Us? Work on cutting-edge LLM agent architecture with real-world impact. Be part of a fast-paced, experiment-driven AI team. Collaborate with passionate developers and AI researchers. Opportunity to build from scratch and influence core product design. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company Description O-Health is digital healthcare company dedicated to AI-driven digital solutions. Our platform connects patients in remote areas to doctors and utilizes NLP and AI for diagnostics. Role Description This is a full-time on-site role for a NLP + ML Engineer at O-Health located in Bengaluru. The NLP + ML Engineer will be responsible for pattern recognition in text, working with neural networks, implementing algorithms, and analyzing statistics on a daily basis in a healthtech ecosystem. Qualifications Experience in Neural Networks, Data Science and Pattern Recognition Strong background in Computer Science and Statistics Proficiency in machine learning frameworks and tools Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Master's/Bachelor's in Computer Science, Engineering, Mathematics, or related field with atleast 4 years of experience Experience in development of multi-lingual ASR systems Responsibilities: Design and develop robust backend systems to handle real-time patient data and ML outputs. Develop and integrate machine learning models with APIs to the main O-Health application. Optimize model serving pipelines (e.g. using TorchServe, FastAPI, or ONNX). Manage data pipelines for de-identified OPD datasets used in model training and inference. Implement data encryption, anonymization, and consent-based data access. Development of multilingual voice and text processing. Support versioning and A/B testing of health algorithms. Required Skills:Backend Engineering Strong in Python with frameworks like FastAPI with experience in DBMS. Experience with RESTful APIs, WebSockets, and asynchronous data flows. Familiar with PostgreSQL databases. Working knowledge of Docker, Git, and CI/CD pipelines. Machine Learning Ops Hands-on with PyTorch, Scikit-learn, or TensorFlow for inference integration. Comfortable with model optimization, quantization, and edge deployment formats (e.g. ONNX, TFLite). Familiarity with language models (LLMs) and multilingual NLP. Knowledge of data preprocessing, tokenization, and feature engineering for clinical/NLP tasks. Other Required Skills Understanding of HIPAA/GDPR compliance. Experience working on healthcare, social impact, or AI-for-good projects. What You'll Impact: You’ll play a pivotal role in connecting machine learning research with field-ready healthcare tools. Your work will help scale diagnosis support systems to thousands of underserved patients and power multilingual health consultations in real-time. Show more Show less

Job Description GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply Gen AI, machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms and Gen-AI 3+ years of experience in at least one of the following languages: Python, R Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

About NAKAD: NAKAD is a pioneering companyfounded by alumni from prestigious institutions such as IIM Ahmedabad, IIT Bombay, and IIT Guwahati, who have previously worked at BCG, HUL, and Oracle. We are at the forefront of transforming ledgerreconciliation through our AI &ML-powered product, ARP. In addition, we are revolutionizing supply chain finance through innovative tokenization mechanisms, enhancing credit accessibility for MSMEs. Professional Background: As a Reconciliation Specialist at NAKAD, you will play a key role in performing reconciliation using our tool while ensuringthe accuracy of the results.We are seeking a qualified professional with the following background and experience: Minimum of 2 years of reconciliation experience within the finance department. Proven experience in interacting with other accountants as part of dispute resolution processes. Preferred experience with popularERPs like Tally, SAP, or similar systems. Strong accounting background with effective communication skills. Experience working in the finance department of a mid-size enterprise or experience with CA audit firms. Skills Required: The successful candidate should possess the following skills and abilities: Advanced proficiency in Excel. Intermediary to advanced knowledgeof accounting principles. Effective communication skills, with the ability to collaborate and resolve discrepancies with other team members. Logical reasoning and analytical skills Values Required: At NAKAD, we value individuals who embody the following principles: Speak Up About Any Problem or Challenge: Encourage open and honest communication regarding any issues or challenges encountered during reconciliation processes. 80:20 Rule: Strive for excellence while maintaining efficiency and effectiveness in your role. Get It Done Today: Demonstrate a sense of urgency and commitment to completing tasks promptly. Optimistic Perseverance: Maintain a positive outlook and determination when faced with challenging reconciliation tasks. Key Responsibilities: Conduct meticulous vendor to vendor reconciliation using our tool to ensure accuracy and identify discrepancies. Collaborate effectively with other accountants to resolve disputes and discrepancies within financial records. Knowledge of ERP systems such as Tally, SAP, or similar platforms to streamline and enhance reconciliation processes. Maintain clear and effective communication with team members regarding reconciliation status and findings. Deliver the reconciled outputs in a time-bound manner. Apply logical reasoning and analytical skills to identify and address reconciliation issues promptly. Continuously improve reconciliation processes and recommend enhancements to optimize efficiency and accuracy. Uphold the values of speaking up about problemsor challenges, achieving tasks promptly, and maintaining an optimistic and persevering attitude. Benefits: Competitive salaryand comprehensive benefitspackage Opportunity to work with cutting-edge AI & ML technology Collaborative and dynamic work environment Exposure to diverse clients and industries Professional development and training opportunities Show more Show less

Senior Senior Technical Lead/ Sr. Software Engineer Lead Location: Indore (We are looking for candidates based in Indore only) Job Type: Full-Time, On-site Notice: Immediate Joiner Role Overview As TL, your mission will be to drive the technical vision and execution of our Web3 platforms with a strong emphasis on integrating existing solutions (e.g., FireBlocks, Bridge, Chainlink, Nium, etc.) rather than developing everything in-house. You will coordinate developers, evaluate vendors, and ensure technical alignment across all projects. Key Responsibilities • Define and lead the technical strategy and system architecture for multiple platforms • Evaluate and integrate third-party services, APIs, and blockchain tools • Oversee day-to-day technical operations and development milestones • Coordinate and communicate with external developers and technical partners • Participate in product planning, strategy meetings, and investor presentations • Ensure systems are scalable, secure, and regulatory-compliant • Supervise technical due diligence on selected Web3 and fintech service providers What We’re Looking For • Solid experience in technical leadership (Tech Lead, Solutions Architect, etc.) • Deep understanding of Web3 protocols, blockchain tools, and integration best practices • Proven success managing third-party integrations and outsourced development • Strong communication skills; fluent in English (spoken and written) • Comfortable operating in a fast-paced startup environment with shifting priorities • Experience working with tools like Fireblocks, Bridge, Plaid, Chainlink, Circle, Nium, or equivalent platforms is a plus Preferred Technical Familiarity - Smart contracts, wallets, custody APIs, DeFi protocols - Integration platforms (RESTful APIs, Webhooks, OAuth) - PHP (Laravel), MySQL — for backend maintenance and integration - AWS, GCP, or similar cloud services - Frontend/backend coordination for Web3 apps (React, Node.js, etc.) - Security and compliance standards in tokenization and digital finance Show more Show less

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to Generative AI Shared Services Platform applications/systems and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Mandatory Qualifications: 5-8 years of relevant experience Working proficiency in Python Writing clean, scalable, and modular Python code following best practices Experience with RESTful API development (preferably using FastAPI, or Flask) Experience with object-oriented programming (OOP), exception handling, and logging. Proficiency in asynchronous programming (async/await, threading, multiprocessing) for handling concurrent requests efficiently Building and optimizing microservices based architectures for shared services Database integration (PostgreSQL/MongoDB, Oracle) Writing unit, integration, and end-to-end test cases using PyTest or similar frameworks. Basic understanding of CI/CD pipelines and their role in automated deployments. Setting up GitHub CI/CD pipelines (or similar)for automated testing and deployments. Writing and maintaining Dockerfiles for containerized applications. Working knowledge of Kubernetes/OpenShift ECS Cluster Strong understanding of API authentication and authorization (JWT, OAuth, API Gateway). Proficient in optimizing database queries, indexing strategies, and schema design Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Desired Qualifications: Implementing SonarQube for code quality, coverage, and static analysis. Familiarity with data science libraries (scikit-learn, TensorFlow) Awareness of Large Language Model (LLM) integration and RAG architectures for shared AI services Familiarity with vector databases (e.g., PGVector, FAISS) for retrieval-augmented generation (RAG) Conceptual knowledge of embeddings, tokenization, and retrieval mechanisms in AI-driven applications Implementing logging and observability for services using ELK Stack Grafana or similar software Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person

Join Our Team & Let's Create Magic Together! Be a part of us and observe how your skills are polished while working under the guidance of the experts. Everything that makes Webmob the best! We know that work is worship, but there are even other aspects that we take care of. Global Clients We strive to serve our clients with the best services and assistance around the globe. Flexible Working Hours We motivate employees to grow personally and professionally by maintaining flexible working hours. Fun Activities We organize trips and activities to cheer up our employees. As the saying goes, ' All work and no play make Jack a dull boy.' Learning Atmosphere We know that there's no end to learning, and that's why we inspire our employees to keep adding something new to their knowledge bank. Digital Marketing Specialist Position: Digital Marketing Specialist ‍ Required Experience: 5-8 years ‍ Location: Mohali (WFO) ‍ Salary: Good hike on CTC Working ‍ Days: 5 days Company Overview ‍ Webmob Software Solutions is a fintech company based in North India. We are leading service providers in the space of emerging technologies including Blockchain, AI, ML, IOT, and cloud computing . With a global, renowned clientele, we have developed several robust applications in the space of Trade Finance, Money Market, Asset Tokenization, and Supply Chain. Webmob is currently having expertise in Java, Kotlin, PHP, Python, Go, MEAN and MERN stack. Our specialties include Fintech product development, Blockchain development and consultancy, website development, graphic designing, digital marketing, application development, AWS support, infrastructure handling, IOT, AI, and ML. Key Responsibilities: Conduct thorough market research, competitor analysis, and audience segmentation to identify opportunities and inform strategy. Familiar with key performance indicators (KPIs) and metrics for all digital marketing activities and regularly report on progress. Search Engine Optimization (SEO): Execute all SEO efforts, including technical SEO, on-page optimization, off-page optimization, keyword research, and content strategy. Monitor, analyze, and report on organic search performance using tools like Google Analytics, Google Search Console, SEMrush, Ahrefs, etc. Stay up-to-date with algorithm changes and industry best practices to ensure continuous improvement in search rankings. Search Engine Marketing (SEM)/PPC: Manage and optimize paid search campaigns (Google Ads, Facebook Ads) from strategy to execution, including keyword bidding, ad copy creation, landing page optimization, and budget management. Social Media Marketing: Develop and execute social media strategies across relevant platforms (e.g., Facebook, Instagram, LinkedIn, Twitter, YouTube) to increase brand awareness, engagement, and lead generation. Oversee content creation, scheduling, and community management. Manage paid social media campaigns and analyze their effectiveness. Content Marketing: Ensure content is optimized for search engines and aligned with brand messaging. Email Marketing: Develop and execute email marketing campaigns, including list segmentation, A/B testing, personalization, automation, and performance analysis. Manage email platforms and ensure compliance with anti-spam regulations. Analytics & Reporting: Utilize web analytics tools (e.g., Google Analytics, Adobe Analytics) to track, measure, and analyze the performance of all digital marketing campaigns. Generate regular reports, providing insights and recommendations for optimization to internal stakeholders. Identify trends and insights, and optimize spend and performance based on the insights. Qualifications: Bachelor's or Masters degree in Minimum 5-8 years of progressive experience in digital marketing. Proven track record of successfully developing and executing digital marketing strategies that drive measurable results (e.g., increased traffic, leads, conversions, ROI). In-depth knowledge and hands-on experience with: SEO tools: Google Search Console, Google Analytics, SEMrush, Ahrefs, Moz, etc. PPC platforms: Google Ads, Bing Ads, etc. Social Media platforms & analytics: Facebook Business Manager, LinkedIn Campaign Manager, etc. Email Marketing Platforms: Mailchimp, HubSpot, Salesforce Marketing Cloud, etc. (Any other tool) Strong analytical skills with the ability to interpret data, identify trends, and make data-driven decisions. Excellent written and verbal communication skills. Up-to-date with the latest trends and best practices in digital marketing and online advertising. Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment. ‍ Benefits: Flexible work environment. Employee friendly policies. Competitive salary with the best in the industry Immense exposure to new technologies 5 days week work Onsite Opportunities

Join Our Team & Let's Create Magic Together! Be a part of us and observe how your skills are polished while working under the guidance of the experts. Everything that makes Webmob the best! We know that work is worship, but there are even other aspects that we take care of. Global Clients We strive to serve our clients with the best services and assistance around the globe. Flexible Working Hours We motivate employees to grow personally and professionally by maintaining flexible working hours. Fun Activities We organize trips and activities to cheer up our employees. As the saying goes, ' All work and no play make Jack a dull boy.' Learning Atmosphere We know that there's no end to learning, and that's why we inspire our employees to keep adding something new to their knowledge bank. Java Developer Position: Java Developer Experience: 4+ years Location: Mohali (WFO) Salary: Good hike on CTC Working Days: 5 days Webmob Software Solutions is a fintech company based in North India. We are leading service providers in the space of emerging technologies including Blockchain, AI/ML, IOT, and Cloud computing. With a global, renowned clientele, we have developed several robust applications in the space of Trade Finance, Money Market, Asset Tokenization, and Supply Chain. Our specialties include fintech product development, blockchain development and consultancy, website development, graphic designing, digital marketing, application development, AWS support, infrastructure handling, IOT, AI/ML. Requirements: Strong understanding of Java SE (Standard Edition) and its core libraries. Proven hands-on experience in Java development. Must have experience on server side rendering and thymeleaf. Experience with Java EE components and frameworks like Spring and Hibernate . Knowledge of microservices architecture and tools like Spring Boot . Strong understanding of object-oriented programming and design patterns. Knowledge of RESTful APIs and web services. Strong analytical and problem-solving skills Good communication skills for collaborating with team members Ability to learn new technologies and adapt to changing requirements. ‍ Benefits : Employee friendly policies. Competitive salary with the best in the industry. Immense exposure to new technologies. 5 days week work. Flexible Timings. Onsite Opportunities.

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person

JOB DESCRIPTION #ONSITE We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. RESPONSIBILITIES Key Responsibilities Preprocess and clean raw text data for downstream NLP applications (e.g., tokenization, normalization, entity recognition). Annotate and label datasets for supervised learning tasks (e.g., intent classification, sentiment analysis, NER). Analyze and visualize linguistic patterns and insights from textual data. Work with data scientists to evaluate and improve model performance. Support the development of rule-based and machine learning-based NLP pipelines. Document and maintain guidelines for annotation and linguistic QA. Collaborate with stakeholders to understand domain-specific language challenges and requirements QUALIFICATIONS Required Qualifications Bachelor’s degree in Linguistics, Computer Science, Data Science, or a related field. 3+ years of hands-on experience with text analysis or NLP tasks. Proficiency in Python and common NLP libraries (e.g., spaCy, NLTK, pandas). Experience working with annotation tools (e.g., Prodigy, Labelbox, doccano). Strong understanding of language structure and linguistic features. Ability to apply regular expressions and text parsing techniques effectively. Familiarity with data visualization tools and basic statistics. Preferred Qualifications Experience in domain-specific NLP (e.g., clinical/biomedical, legal, financial). Knowledge of vectorization methods (TF-IDF, word2vec, BERT embeddings). Exposure to ML model evaluation metrics (e.g., precision, recall, F1 score). Experience with SQL and working with large datasets. Familiarity with LLMs (e.g., OpenAI, Hugging Face Transformers). Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work. WHO WE ARE Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed. WHAT WE BELIEVE At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special. We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time. ABOUT US Perficient is always looking for the best and brightest talent and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Select work authorization questions to ask when applicants apply 1. Are you legally authorized to work in the United States? 2. Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)? Show more Show less

Job Overview As an LLM (Large Language Model) Engineer, you will be responsible for designing, optimizing, and standardizing the architecture, codebase, and deployment pipelines of LLM-based systems. Your primary mission will focus on modernizing legacy machine learning codebases (including 40+ models) for a major retail clientenabling consistency, modularity, observability, and readiness for GenAI-driven innovation. Youll work at the intersection of ML, software engineering, and MLOps to enable seamless experimentation, robust infrastructure, and production-grade performance for language-driven systems. This role requires deep expertise in NLP, transformer-based models, and the evolving ecosystem of LLM operations (LLMOps), along with a hands-on approach to debugging, refactoring, and building unified frameworks for scalable GenAI : Lead the standardization and modernization of legacy ML codebases by aligning to current LLM architecture best practices. Re-architect code for 40+ legacy ML models, ensuring modularity, documentation, and consistent design patterns. Design and maintain pipelines for fine-tuning, evaluation, and inference of LLMs using Hugging Face, OpenAI, or open-source stacks (e.g., LLaMA, Mistral, Falcon). Build frameworks to operationalize prompt engineering, retrieval-augmented generation (RAG), and few-shot/in-context learning methods. Collaborate with Data Scientists, MLOps Engineers, and Platform teams to implement scalable CI/CD pipelines, feature stores, model registries, and unified experiment tracking. Benchmark model performance, latency, and cost across multiple deployment environments (on-premise, GCP, Azure). Develop governance, access control, and audit logging mechanisms for LLM outputs to ensure data safety and compliance. Mentor engineering teams in code best practices, versioning, and LLM lifecycle Skills : Deep understanding of transformer architectures, tokenization, attention mechanisms, and training/inference optimization Proven track record in standardizing ML systems using OOP design, reusable components, and scalable service APIs Hands-on experience with MLflow, LangChain, Ray, Prefect/Airflow, Docker, K8s, Weights & Biases, and model-serving platforms. Strong grasp of prompt tuning, evaluation metrics, context window management, and hybrid search strategies using vector databases like FAISS, pgvector, or Milvus Proficient in Python (must), with working knowledge of shell scripting, YAML, and JSON schema standardization Experience managing compute, memory, and storage requirements of LLMs across & Experience : 5+ years in ML/AI engineering with at least 2 years working on LLMs or NLP-heavy systems. Able to reverse-engineer undocumented code and reimagine it with strong documentation and testing in mind. Clear communicator who collaborates well with business, data science, and DevOps teams. Familiar with agile processes, JIRA, GitOps, and confluence-based knowledge sharing. Curious and future-facingalways exploring new techniques and pushing the envelope on GenAI innovation. Passionate about data ethics, responsible AI, and building inclusive systems that scale (ref:hirist.tech) Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Risk Analyst, Regulatory and Customer Assurance (India) Overview The Technology Risk Management (TRM) organization is a business enabler and industry leader of technology and security risk management practices, supported by a multi-disciplinary team of top security, technology, and risk professionals. Our mission is to exceed stakeholder expectations by providing enhanced visibility and proactive management of technology risks and ensuring strong security and sound operational environment. The Security Assurance team is responsible for working with, and demonstrating to, our stakeholders (e.g., regulators, customers, Mastercard businesses) how Mastercard complies with our security and technology promises, commitments, and obligations. India is a highly regulated environment requiring a strong risk management program to meet new and existing obligations, including audits of security processes and controls, tokenization practices and data localization compliance. Risk Management Framework/Governance Assist in preparation and maintenance of a consolidated control framework Support preparation of a centralized inventory of security and technology risk management requirements and assurance expectations Risk Management Guidance/Direction Support business owners in analysis of business and functional requirements resulting from regulation and customer contracts; and help identify technology and security risk controls Help assess impact of business, market and regulatory landscape changes on controls and preactices Audit Support Support customer and regulatory examinations; provide documentation and evidence to demonstrate how Mastercard satisfies obligations and commitments Assist in completing customer and regulatory inquiries and requests for information Prepare periodic customer and regulator meetings and reporting Perform compliance monitoring and pre audit readiness reviews Collection, sorting and maintaining audit evidence repository and tracking open items to closure Assist with certification efforts (e.g., SOC, ISO, PCI) Assist in reviewing reports of related parties and review System Audit Reports (SARs) and System Audit Questionnaires (SAQs) to track ecosystem compliance Experience Have knowledge of relevant regulations (e.g., payment and settlement systems, tokenization, Data localization) applicable to India business Have strong understanding of technology and information security risk management practices. Experience in handling regulatory and customer audits, conducting assessments and good understanding of governance, risk and compliance practices Be seen as a trusted advisor who understands business processes and can provide security consultation and advisory Possess excellent communication and people management skills and stakeholder management experience Be culturally aware, sensitive and able to collaborate with cross-regional teams Be a team player with strong business and operations focus Knowledge of Risk and Control Framework standards such as NIST, ISO, PCI-DDS, SOC Knowledge of laws, regulations, policies, and ethics as they relate to cybersecurity and IT management (e.g., GDPR, FBA, CBA, PFMI, etc.) Knowledge of Mastercard products and technology, security and other risk management programs and practices desired, a plus but not required Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-211366 Show more Show less

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe. Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you. As a Software Engineer for the DevOps Team, you will be responsible for implementing and managing the DevOps approach within an organization. This role is crucial in bridging the gap between development and operations teams, ensuring seamless collaboration and efficient delivery of high-quality software products. You should know how to design, implement, and maintain tools and processes for continuous integration, delivery, and deployment (CI/CD) of software using various cloud platforms. The primary goal is to automate repetitive tasks, reduce manual intervention, and improve the overall user experience, quality, and reliability of software products. Responsibilities: Design, develop, test, and maintain CI/CD pipelines, and maintain continuous integration, delivery, and deployment (CI/CD) processes using tools like Jenkins, Git, Artifactory, Docker, etc. Define and set development, test, release, update, and support processes for DevOps operations. Automate, manage, and optimize the deployment and infrastructure of applications on public clouds like AWS, Azure, GCP. Collaborate with development and operations teams to identify and address bottlenecks in the software development lifecycle. Troubleshoot and resolve issues related to application development, deployment, and operations. Monitor and manage infrastructure, ensuring optimal performance, security, and scalability. Understand how to choose the best tools and technologies that best fit the business needs. Qualifications: BE/ME/MCA or any other degree in a related field. 3-7 years of relevant DevOps experience. Hands-on experience with various DevOps concepts and tools like Continuous Integration (CI) and Continuous Delivery (CD), Git, Jenkins, SonarQube, Artifactory/Nexus. Strong knowledge of programming languages, such as Python, Ruby, or Java. Experience in building, designing, and maintaining cloud-based applications with AWS, Azure, GCP, etc. Knowledge of container and container orchestration tools like Docker, AWS ECS, Kubernetes. Experience working on Linux-based infrastructure. Excellent communication and collaboration skills, as well as the ability to work effectively in cross-functional teams. Knowledge of data protection, privacy, and security domains Why Choose Protegrity: Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. Competitive Compensation/Total Reward Packages Paid Time Off (PTO) Work on global projects with diverse, energetic, team members who respect each other and celebrate differences. Remote workforce We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status. Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information. Show more Show less

We're building something audacious, something global, in next tech at Mai Labs: a new digital infrastructure layer, an internet architectural rail that puts users, builders, creators and developers first. Our mission? To distribute participatory power to billions of people in the digital economy. What this means: We are building a secure digital ecosystem through our blockchain and Web 3.0 tools—from tokenization to real-world asset digitization. Our photorealistic platform empowers creators to design immersive environments while protecting digital IP rights in the AI era. Our team develops cutting-edge distributed technology solving tangible problems—challenging conventions and reshaping the digital landscape. In our agile startup, you'll work across products, balance strategy and execution, and stay at technology's leading edge. If creating the future of digital ownership excites you, let's connect. Role: Presentation Specialist Location: Noida (WFO) What will you get to do? • Design and develop executive-level presentations for investor pitches, internal reviews, and strategic meetings • Translate abstract or technical ideas into crisp visual narratives using data visualization and storytelling • Enhance slides using animation, infographics, iconography, and layout design for maximum engagement • Maintain and evolve our master deck templates, visual asset libraries, and style guides • Collaborate with marketing, sales, product, and leadership teams to tailor decks for specific objectives • Uphold brand consistency and design standards across all presentation materials • Stay updated with design trends, storytelling techniques, and emerging presentation technologies Profile Expectations: • 3–6 years of experience in presentation design, corporate storytelling, or visual communication • Advanced proficiency in PowerPoint, Google Slides, Keynote, and tools like Adobe Creative Suite, Figma, or Canva • Strong sense of visual hierarchy, typography, layout, and color theory • Experience working on corporate decks, investor presentations, or strategic reports • Familiarity with data storytelling and visualization best practices • Ability to manage multiple projects and deliver under tight deadlines Cultural Expectations: • Thrive in decision making in an ambiguous, fast-paced environment • Exhibit exceptional integrity and reliability on promise delivery • Collaborative and inclusive attitude • Value outcome driven thinking with resource optimization • Understand our reality Hiring Process- 3-4 rounds of interviews with Function, HR & senior leader Show more Show less

Company Description Lirion is a hybrid SaaS platform focused on real estate and gold tokenization. Our AI-driven engine enables asset owners to tokenize their holdings, automate legal structuring, and distribute smart contracts. Lirion also provides an internal token marketplace to facilitate secure, compliant secondary sales between verified investors, integrated with KYC, rental income logic, and smart contracts. Role Description This is a full-time on-site role for a Co-Founder & CFO at Lirion located in Mumbai. The Co-Founder & CFO will be responsible for overseeing the financial aspects of the company, including budgeting, forecasting, financial reporting, and strategic financial planning. They will work closely with the CEO and other team members to drive the growth and success of the company. Qualifications Analytical Skills, Research, and Communication skills Sales and Marketing skills Experience in financial planning and analysis Strong understanding of financial regulations and compliance Excellent leadership and decision-making abilities Bachelor's or Master's degree in Finance, Accounting, Business, or a related field Show more Show less

Join our dynamic AI team as AI/ML Engineer focused on backend and AI system development. You will design, develop, and scale robust backend services and AI/ML pipelines using Python (3.11+), FastAPI. Your work will involve building advanced generative AI solutions—such as retrieval-augmented generation (RAG) and agent-based workflows—leveraging large language models to solve real-world problems. Our projects span multiple verticals, including healthcare and management consulting, providing a unique opportunity to work on impactful, real-world challenges. What you will be doing: Develop and maintain scalable backend APIs and services in Python (3.11+) using FastAPI Design and implement LLM-driven solutions, including prompt engineering and intelligent AI agent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines using vector databases (Weaviate, Neo4j, Firestore) Leverage LangChain and LangGraph frameworks for orchestrating LLM interactions and knowledge graph tasks Integrate and manage data storage with Firebase Firestore or similar NoSQL databases on Google Cloud Platform (GCP) Process, clean, and analyze text data using NLP techniques to feed into AI pipelines Collaborate with cross-functional teams to translate requirements into robust AI features and ensure production readiness Create dashboards and developer tools (using JavaScript/TypeScript) for monitoring and analytics of AI systems Ensure code quality and follow best practices (testing, CI/CD) for reliable production deployments You are a good match if you have: 3+ years of software engineering experience with a strong focus on Python (3.11+) and backend development Proficiency with FastAPI or similar Python web frameworks for building RESTful APIs Hands-on experience with large language models (LLMs) and Generative AI, including prompt engineering techniques Solid experience with LangChain and LangGraph (or equivalent orchestration frameworks) Proven track record in building RAG systems and deploying AI agents in production environments Proficient in using vector databases like Weaviate for semantic search and retrieval Strong NLP and text data processing skills (tokenization, embeddings, text analytics) Experience with Google Cloud Platform (GCP) services and Firebase Firestore (or other NoSQL databases) Basic proficiency in JavaScript/TypeScript for developing internal dashboards or front-end components Excellent communication, teamwork and problem-solving skills is must You get extra points for: Experience with other cloud platforms (AWS, Azure) and cloud-native architectures Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines Experience with frontend frameworks (React, Vue) or visualization libraries for dashboards Why join us? You’ll be a key early hire in a fast-moving, supportive, and experienced team. Reporting to the Head of Product Engineering, you’ll have the autonomy to shape support, release, and onboarding processes as we scale. You’ll work across the business and play a vital role in our customers’ success. Show more Show less