About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
For more details, visit: Website or LinkedIn Page
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
About Quantiphi:Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:17x Google Cloud Partner of the Year awards in the last 8 years3x AWS AI/ML award wins3x NVIDIA Partner of the Year titles2x Snowflake Partner of the Year awardsRecognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firmsWe offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI acceleratorsWe have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
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Job Description:Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:Experience in development of virtual agents (chatbots, voicebots) and natural language processingExperience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc.Knowledge of one or more of the following technologies: Python, JavaScript or Node.jsExperience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process dataPractical knowledge of formal syntax, formal semantics, corpus analysis, dialogue managementStrong written communication skillsAbility to learn latest technologiesGood problem-solving ability
Nice to have skills:Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plusExperience in Test Driven Development & Agile methodologiesKnowledge of creating an end to end pipeline for development of AI based conversational applicationsPerform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patternsAbility to write regular expressions for data cleaning and preprocessingUnderstanding of API integrations, Single-Sign-on and token-based authenticationDevelop unit test cases as per project specific standardsExperience with HTTP, Sockets, REST and other web servicesPerform keyword and topic extraction from chat logsKnowledge of training and tuning topic modelling algorithms like LDA and NMFUnderstanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metricHands on experience of using frameworks like nltk and spacyAbility to write regular expressions for data cleaning and preprocessing
What’s in it for YOU at Quantiphi?Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.