20 Nlg Jobs

About Us Exotel is a leading provider of AI transformation to enterprises for customer engagement and experience. With over 20 billion annual conversations across Omni channel, voice, agents and bots, Exotel is trusted by more than 7000 clients worldwide, spanning industries such as BFSI, Logistics, Consumer Durables, E-commerce, Healthcare and Education. Customer expectations are evolving and businesses face the challenge of balancing the need for increased revenue, optimized costs, and exceptional customer experience (CX). Exotel steps forward as your transformative partner, offering an AI-powered communication solution to address all three! Role Overview As the Director / Sr. Director Product Management for AI Products at Exotel, you will lead the strategy, roadmap, and execution of our AI product portfolio, which includes Conversational AI (voice bots and chatbots), Conversational Quality Analysis and Agent Assist. You will play a pivotal role in building cutting-edge AI-first experiences that enhance customer engagement, improve operational efficiency, and differentiate Exotels CPaaS and CCaaS offerings. This role requires a visionary product leader who combines a deep understanding of AI/ML technologies with strong business acumen, user empathy, and execution excellence. You will partner closely with Engineering, Data Science, Design, Marketing, and Customer teams to create scalable AI products that deliver measurable impact. Experience Product Leadership in AI 15+ years of total experience, with at least 5+ years leading AI/ML product development in a SaaS or cloud-based environment. Strong understanding of LLMs, NLP, Speech-to-Text, NLU/NLG, and AI frameworks. Track record of building and scaling AI products from 0 to 1 and 1 to scale. Enterprise & SaaS Experience At least 5 years of experience building products for enterprise-grade clients. Proven success working in B2B SaaS or enterprise tech domains. Prior exposure to customer experience, contact center automation, or sales/service productivity tools is a plus. Tech Fluency Comfortable working with AI/ML engineers and data scientists to define product requirements. Familiarity with model training workflows, data labeling, and model evaluation metrics. Deep appreciation for privacy, security, and ethical considerations in AI products. Business Acumen Ability to quantify TAM/SAM for AI opportunities and build strong business cases. Experience pricing AI solutions (consumption-based, usage-based, or per-seat licensing models). Strong metrics-orientation: focus on adoption, ROI, time-to-value, and operational efficiency. What You Bring Customer First Thinking: You prioritize real-world problems over technology novelty, focusing on how AI delivers outcomes. Strong Product Sense: You translate abstract ideas into structured product plans with measurable outcomes. Bias for Execution: Ability to lead complex AI initiatives with clarity, speed, and cross-functional collaboration. Continuous Learning: You stay updated on AI trends while grounding your decisions in customer feedback. Data-Informed Mindset: Youre fluent in experimentation, A/B testing, and feedback loops to inform product decisions. Thoughtful Collaboration: You foster a culture of alignment without authority, balancing conviction with openness. Leadership Team Leadership Experience hiring, coaching, and growing high-performing product managers. Ability to mentor team members on technical depth, strategy, and stakeholder influence. Cross-Functional Partnership Proven success working closely with AI/ML, engineering, data science, sales, and CX. Skilled in influencing exec stakeholders and aligning divergent viewpoints. Evangelism & Thought Leadership Comfortable representing Exotel at conferences, customer briefings, and analyst forums. Strong storytelling skills to drive internal alignment and external excitement. What This Role Offers Category-Creation Opportunity: Shape Exotels next-gen AI roadmap across customer engagement touchpoints. Impact at Scale: Drive real-time decisioning, automation, and personalization across millions of customer conversations. Innovation Playground: Work with state-of-the-art LLMs, speech models, and real-world data at scale. Career Acceleration: High-visibility role with potential to evolve into VP-level responsibilities. Collaborative Culture: Join a diverse team that values experimentation, humility, and shared win Show more Show less

Genpact is a global professional services and solutions firm with a team of over 125,000 professionals in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we serve leading enterprises worldwide, including the Fortune Global 500. Our purpose is the relentless pursuit of a world that works better for people, and we achieve this through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Principal Consultant, Research Data Scientist. We are looking for candidates with relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. The ideal candidate should have full cycle experience in at least one large-scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, technology & analytic solutioning, implementation, and change management. Experience in Hadoop, including development in the map-reduce framework, is also desirable. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems, and working with database teams to deliver large-scale text analytic solutions. Responsibilities: - Develop transformative AI/ML solutions to address clients" business requirements - Manage project delivery involving data pre-processing, model training and evaluation, and parameter tuning - Manage stakeholder/customer expectations and project documentation - Research cutting-edge developments in AI/ML with NLP/NLU applications in various industries - Design and develop solution algorithms within tight timelines - Interact with clients to collect and synthesize requirements for effective analytics/text mining roadmap - Work with digital development teams to integrate algorithms into production applications - Conduct applied research on text analytics and machine learning projects, file patents, and publish papers Qualifications: Minimum Qualifications/Skills: - MS in Computer Science, Information Systems, or Computer Engineering - Relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms Technology: - Open Source Text Mining paradigms (NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene) and cloud-based NLU tools (DialogFlow, MS LUIS) - Statistical Toolkits (R, Weka, S-Plus, Matlab, SAS-Text Miner) - Strong Core Java experience, programming in the Hadoop ecosystem, and distributed computing concepts - Proficiency in Python/R programming; Java programming skills are a plus Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG, with text analytics experience on large structured and unstructured data - Knowledge of AI Methodologies (ML, DL, NLP, Neural Networks, Information Retrieval, NLG, NLU) - Familiarity with Natural Language Processing & Statistics concepts, especially in their application - Ability to conduct client research to enhance analytics agenda Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, and Machine learning/Deep learning methods - UI development paradigms for Text Mining Insights Visualization - Experience with Linux, Windows, GPU, Spark, Scala, and deep learning frameworks Methodology: - Social Network modeling paradigms, tools & techniques - Text Analytics using NLP tools like Support Vector Machines and Social Network Analysis - Previous experience with Text analytics implementations using open source packages or SAS-Text Miner - Strong prioritization, consultative mindset, and time management skills Job Details: - Job Title: Principal Consultant - Primary Location: India-Gurugram - Schedule: Full-time - Education Level: Master's/Equivalent - Job Posting Date: Oct 4, 2024, 12:27:03 PM - Unposting Date: Ongoing - Master Skills List: Digital - Job Category: Full Time,

At EY, you will have the opportunity to shape a career that aligns with your unique qualities, leveraging our global reach, supportive environment, inclusive culture, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also contribute to building a better working world for all. As a Senior Developer with 3 to 5 years of overall experience and at least 3 years of relevant experience, you will assume the role of a Technical Lead specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Your responsibilities will include designing and implementing innovative solutions based on AI and ML technologies. In this role, you will lead a team of Junior Developers, providing guidance and expertise gained from your 3+ years of experience in service delivery. You will be tasked with designing technical specifications for projects involving AI, Machine Learning, Deep Learning, NLP, NLU, and NLG. Furthermore, you will contribute to the development of products and tools utilizing AI technologies to deliver high-value solutions. Your expertise will encompass a range of AI and ML techniques, including deep learning, computer vision, natural language processing, search algorithms, information retrieval, information extraction, probabilistic graphical models, and machine learning. Additionally, you will be responsible for implementing version control strategies and defining best practices for software development. To excel in this role, you must possess excellent computer skills, proficiency in Excel, PowerPoint, Word, and Outlook, as well as strong interpersonal and collaborative abilities. Your command of the English language, both verbal and written, will be crucial in effectively communicating and analyzing solutions to complex problems. Your key responsibilities will include creating technical designs for AI and ML projects, demonstrating a solid understanding of deep learning architectures and algorithms, and leveraging open-source libraries such as Keras, TensorFlow, and PyTorch. You will collaborate with business analysts and consultants to develop robust solutions, utilizing your expertise in data science and machine learning using Python and R. Moreover, your role will involve training and leading technical developers, designing applications using Microsoft technologies like ASP.Net, C#, HTML5, and MVC, leveraging cloud solutions such as Azure or AWS, and working with container technologies like Docker. Your ability to work effectively with global teams and build strong relationships with project stakeholders will be critical to your success. At EY, we are dedicated to building a better working world by creating long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through data and technology. Join our diverse teams across 150 countries as we tackle complex global challenges with innovative solutions and a commitment to asking better questions to find new answers.,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

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. Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Associate Manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. **Your key responsibilities:** - Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs). - Work with advanced models for natural language processing and creative content generation using contextual information. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand Business and Sectors, identify whitespaces and opportunities for analytics application. - Work on large to mid-size projects, ensure smooth service delivery, and provide expert reviews. - Communicate with cross-functional teams and manage stakeholder relationships. **Skills and attributes for success:** - Able to work creatively and systematically in a time-limited, problem-solving environment. - Loyal, reliable, with high ethical standards. - Flexible, curious, creative, and able to propose innovative ideas. - Good interpersonal skills, team player, and positive in a group dynamic. - Intercultural intelligence, experience of working in multi-cultural teams. - Ability to manage multiple priorities simultaneously and drive projects to completion with minimal supervision. **To qualify for the role, you must have:** - Experience in guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with implementing solutions in Azure Cloud Framework. - Excellent Presentation Skills. - 8-10 years of relevant work experience in developing and implementing AI, Machine Learning Models. - Experience in statistical techniques, deep learning, machine learning algorithms. - Proficient in Python programming and SDLC principles. - Willingness to mentor team members and travel extensively. - Excellent written and verbal communication skills. **Ideally, you'll also have:** - Ability to think strategically and build rapport within the firm and with clients. If you are a team player with commercial acumen, technical experience, and enthusiasm to learn new things in a fast-moving environment, and interested in being part of a market-prominent, multi-disciplinary team, this opportunity at EY could be the next step in your career growth.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As a part of the global leader in Cloud, AI, and Digital technologies, you will be responsible for leveraging GenAI models and frameworks to enhance the efficiency and productivity of businesses worldwide. Your role will involve serving as the primary technical expert for GenAI technologies, focusing on developing, implementing, and optimizing advanced AI models and solutions to expand our GenAI footprint across clients. You will provide technical leadership, drive innovation, and ensure the successful integration of AI technologies into our IT services for clients. Your responsibilities will include defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. In addition, you will evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities, provide technical leadership, mentorship, and guidance to teams, troubleshoot and resolve complex platform integration and functionality issues. You will also be hands-on in independently building quick prototypes and demonstrating them to key decision-makers. To be successful in this role, you should have 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI/GenAI technologies. Expertise in NLP, NLU, NLQ, and NLG technologies is essential, along with Core Python proficiency to build applications and engineer GenAI solutions at an enterprise scale. You must have delivered production-grade projects on agentic AI frameworks, as well as hands-on experience with agentic AI frameworks such as Autogen, Langraph, or Crew.AI. Experience with NLQ to SQL-based GenAI applications using core Python tools and frameworks, databases, data warehouses, and data lakes on cloud platforms is required. Deep knowledge of architecting product-scale GenAI applications on Microsoft Azure Cloud, AWS Cloud, or GCP cloud environments is a must. Strong programming skills in Python, Node.js, Java, or similar, API programming, familiarity with LLMs, prompt engineering, fine-tuning, and embeddings are desired. Excellent problem-solving skills, solution architecture capabilities, and client-facing communication skills are essential. The ability to translate business needs into technical solutions, manage multiple projects and priorities in a fast-paced environment, and work with cloud platforms is crucial. Moreover, expertise in building technical proposals with winning engineering architectures and technical articulation for CXO level audience, and experience in developing fast PoVs and blueprints on new and emerging GenAI models, tools, frameworks, and other stack will be advantageous for this role.,

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. The Data and Analytics team at EY is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities include developing, reviewing, and implementing Solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. Having a relevant understanding of Big Data and Visualization would be beneficial. You will lead the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). You will extensively work with advanced models for natural language processing and creative content generation using contextual information. Furthermore, you will design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Your role will also involve understanding business and sectors, identifying whitespaces and opportunities for analytics application, managing projects, ensuring smooth service delivery, and communicating with cross-functional teams. Skills and attributes for success include the ability to work creatively and systematically in a time-limited, problem-solving environment, loyalty, reliability, high ethical standards, flexibility, curiosity, creativity, good interpersonal skills, teamwork, intercultural intelligence, experience of working in multi-cultural teams, ability to manage multiple priorities simultaneously, and excellent communication skills. To qualify for this role, you must have experience guiding teams on AI/Data Science projects, familiarity with Azure Cloud Framework, excellent presentation skills, 12-16 years of relevant work experience in AI and Machine Learning, experience in statistical techniques, deep learning, machine learning algorithms, programming in Python, SDLC experience, and willingness to mentor team members. Additionally, having the ability to think strategically, build rapport, travel extensively, and work on client sites/practice office locations is ideal. EY Global Delivery Services (GDS) offers a dynamic and truly global delivery network with fulfilling career opportunities, continuous learning, transformative leadership, and a diverse and inclusive culture. Join us at EY to build a better working world through trust, innovation, and value creation for clients, people, and society.,

You will be responsible for leveraging GenAI models and frameworks to build applications and optimize AI solutions for clients. As the primary technical expert in GenAI technologies, you will focus on enhancing the GenAI footprint by developing and implementing advanced AI models. Your role will involve defining best practices, conducting workshops and demos, collaborating with cross-functional teams, and integrating emerging GenAI technologies for improving conversational AI capabilities. Additionally, you will provide technical leadership, mentorship, and guidance to teams, troubleshoot platform integration issues, and independently build prototypes to demonstrate to key decision-makers. To excel in this position, you should have at least 10 years of IT experience, with 3-4 years specifically in AI/Gen AI technologies such as OpenAI, Anthropic, or Hugging Face. Proficiency in NLP, NLU, NLQ, NLG technologies, and core Python expertise for building enterprise-scale applications are essential. You must have delivered production-grade projects on agentic AI frameworks, hands-on experience with frameworks like Autogen, Langraph, or Crew.AI, and expertise in NLQ to SQL-based GenAI applications using Python tools. Experience with cloud platforms like Microsoft Azure, AWS, or GCP, API integrations, and programming skills in Python, Node.js, or Java are also required. Moreover, you should possess strong problem-solving skills, solution architecture capabilities, and client-facing communication abilities to translate business requirements into technical solutions effectively. The ability to manage multiple projects in a fast-paced environment and experience working with cloud platforms will be beneficial. Additionally, expertise in building technical proposals, fast PoVs, and blueprints on new GenAI models and tools are desired for this role.,

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 yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and contribute to creating a better working world for all. As an Assistant Manager in AI/Gen AI within the Data and Analytics team, you will be part of a multi-disciplinary technology team that delivers client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments you work on will cover a wide range of countries and industry sectors. Your key responsibilities include: - Developing, reviewing, and implementing solutions using AI, Machine Learning, Deep Learning, and Python programming. - Leading the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). - Working with advanced models for natural language processing and creative content generation. - Designing and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Identifying opportunities for analytics applications within various industry sectors. - Managing projects and ensuring smooth service delivery. - Collaborating with cross-functional teams and stakeholders. Skills and attributes we are looking for: - Ability to work creatively and systematically in a time-limited, problem-solving environment - High ethical standards and reliability - Curiosity, creativity, and openness to new ideas - Good interpersonal and communication skills - Experience in working with multi-cultural teams and managing multiple priorities simultaneously To qualify for this role, you must have: - Experience in guiding teams on AI/Data Science projects and communicating results to clients - Familiarity with implementing solutions in Azure Cloud Framework - Presentation skills and 6-8 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models - Proficiency in Python programming and experience with statistical techniques, deep learning, and machine learning algorithms - Familiarity with the software development life cycle and product development principles Ideally, you will also have: - Strategic thinking abilities and a customer-focused mindset - Ability to build rapport and trust with clients - Willingness to travel extensively and work on client sites/practice office locations What we offer: EY Global Delivery Services (GDS) provides a dynamic and truly global delivery network with fulfilling career opportunities and exciting projects. You will have the chance to collaborate with EY teams worldwide and work on projects with well-known brands. Continuous learning, success defined by you, transformative leadership, and a diverse and inclusive culture are all part of what EY offers to its employees. Join us at EY to be a part of a team that is committed to building a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets.,

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. As an Assistant Director - AI/GenAI in the Data and Analytics team at EY, you will be part of a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your assignments will cover a wide range of countries and industry sectors. Your key responsibilities include developing, reviewing, and implementing solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. You will lead the development and implementation of Generative AI applications, work with advanced models for natural language processing and creative content generation, and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Additionally, you will work on identifying opportunities for analytics application, manage projects, study resource needs, provide expert reviews, and communicate effectively with cross-functional teams. To qualify for this role, you must have 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models, experience in Azure Cloud Framework, excellent presentation skills, and familiarity with statistical techniques, deep learning, and machine learning algorithms. Proficiency in Python programming, experience with SDLC, and willingness to mentor team members are also required. Ideal candidates will have the ability to think strategically, build rapport with clients, and be willing to travel extensively. In addition, we look for individuals with commercial acumen, technical experience, and enthusiasm to learn in a fast-moving environment. This role offers the opportunity to be part of a market-prominent, multi-disciplinary team and work with EY SaT practices globally across various industries. EY Global Delivery Services (GDS) is a dynamic and truly global delivery network that offers fulfilling career opportunities in collaboration with EY teams on exciting projects worldwide. Continuous learning, transformative leadership, and a diverse and inclusive culture are some of the key aspects of working at EY. EY exists to build a better working world by providing trust through assurance and helping clients grow, transform, and operate across various sectors. Your role at EY will contribute to creating long-term value for clients, people, and society while building trust in the capital markets.,

AVIZVA is a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing the way healthcare enterprises deliver care. Since its establishment in 2011, AVIZVA has been a key strategic enabler for healthcare enterprises, enhancing their overall care delivery through tailored products and services. With over 13 years of expertise, AVIZVA has successfully engineered more than 150 products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. As an Associate Manager - Applied Machine Learning at AVIZVA, you will play a crucial role in architecting, designing, and developing advanced GenAI products and services. This position requires a strong technical background in machine learning coupled with leadership skills to drive the team towards success. Your responsibilities will include contributing to the development of Large Language Model (LLM) based products, integrating GenAI and traditional machine learning approaches to meet key product requirements. Collaboration with cross-functional teams, such as product managers and business leaders, will be essential to deliver scalable machine-learning solutions that align with business needs. Your role will involve setting clear goals and priorities for the team, overseeing the lifecycle of GenAI projects, addressing technical and operational challenges, and ensuring seamless deployment of models into production environments. Embracing a culture of continuous improvement, you will lead the team in delivering high-quality results while maintaining a collaborative work environment. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science or a related analytical field. A minimum of one year of experience in Gen AI, Agentic AI, and Large Language Models (LLMs) is required, along with hands-on experience in building RAG (Retrieval Augmented Generation) pipelines. Proficiency in NLP, NLG, Text Analytics, and working with Transformer-based models like BERT is essential. Additionally, you should have over 10 years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python, system design, and architecture. Your technical skills should encompass a strong command of Core Python, advanced Python libraries like PyTorch and FAST API, as well as experience with classification and clustering algorithms, ensemble models, and object-oriented programming. Familiarity with ORM tools, debugging, testing frameworks, front-end fundamentals, and Agile methodology will be beneficial for the role. Excellent communication and problem-solving skills are also key attributes for success in this position.,

As an AI Developer, you will be responsible for designing, developing, optimizing, and implementing AI systems to meet business requirements. You will monitor the performance of deployed scalable AI models and frameworks, making necessary adjustments or updates to enhance accuracy and reliability. In case of any issues or bugs during operation, you will address them promptly. Collaborating with cross-functional teams, you will analyze business needs, define problems, and identify the goals and requirements of AI systems. Working closely with the development team, you will ensure seamless AI development and integration. You will define APIs and protocols for communication between AI systems and external services. It will also be part of your responsibility to document AI models and infrastructure, processes, and practices for reference. You will present progress to the leadership team and stakeholders. Implementing strong data security and privacy measures for data handled in AI applications will be crucial. Staying current with emerging AI research and technologies is essential. You will initiate innovative solutions and improvements to advance our AI capabilities. Additionally, you will conduct training sessions and share knowledge and expertise in AI with the team. Requirements: - Bachelor's degree in Computer Science, IT, Data Science, or related field - 1-2 years of experience in AI development, Natural Language Processing, and Large Language Models - Proven track record of deploying AI models in production - Proficiency in programming languages such as Python, JavaScript, or C++ - Experience in JAVA is a plus - Knowledge of SQL and NoSQL databases - Experience with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn) - Familiarity with machine learning models & algorithms, cloud computing platforms (AWS, Microsoft Azure, Google Cloud Platform), containerization (Docker, Kubernetes), deep learning, Natural Language Processing (NLP), and/or Natural Language Generation (NLG) - Eagerness to learn and continuously expand knowledge in emerging fields - Strong interpersonal and communication skills with a willingness to collaborate with different teams.,

Description We are seeking an experienced NLP Engineer to join our dynamic team in India. The ideal candidate will have a strong background in Natural Language Processing and machine learning, with a passion for developing innovative solutions that leverage language data. Responsibilities Develop and implement NLP algorithms and models to solve real-world problems. Collaborate with cross-functional teams to integrate NLP capabilities into applications. Conduct research to advance the state of the art in NLP and machine learning. Analyze and preprocess text data to improve model performance. Evaluate and fine-tune existing NLP models based on performance metrics. Skills and Qualifications 4-10 years of experience in Natural Language Processing or related fields. Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning frameworks like TensorFlow, PyTorch, or Keras. Experience with NLP libraries such as NLTK, SpaCy, or Hugging Face Transformers. Familiarity with text processing techniques and tools (e.g., regex, tokenization, stemming, lemmatization). Knowledge of deep learning architectures for NLP (e.g., RNNs, LSTMs, Transformers). Experience with cloud platforms and services (e.g., AWS, Google Cloud) for deploying NLP models.

SoftwareEngineer-L2Chatbot Engg Role! 3+yrs exp, Python (must), Java/Golang (good), Django, AWS, Postgres, NLP, LLMs/GenAI, ML, NLU, NLG, TTS, voice bots. Full-stack exp a plus. C2H with TE Infotech (Exotel). Loc: BLR. Apply: ssankala@toppersedge.com

Senior Manager Software Development Engineering Safety ART Tech Enablement Team What you will do In this vital role you will become an influential strategic IT partner within the Global Patient Safety (GPS) organization. This role is accountable for end-to-end service delivery leading and manage a team of engineers supporting multiple product teams for the Safety IT technology and its integrations. As we stride towards the future, this role will be pivotal in advancing the next generation of Safety platforms and supporting technologies. As Sr. Manager, you will lead a team delivering innovative solutions and shared technology services to support the Global Patient Safety (GPS) organization. This role combines technical leadership and strategic guidance to advance safety platforms, integrate innovative technologies, and drive efficiency and innovation across systems. Roles & Responsibilities: Oversee the delivery of shared services across the safety product teams, ensuring high-quality solutions and alignment with organizational goals. Acts as a liaison between team and product teams, ensuring technical solutions align with project requirements and timelines for the Global Patient Safety organization Provide guidance on the design, development, and deployment of technical solutions Ensures adherence to best practices in software engineering, including code quality platform scalability, and system reliability Stay updated on new technologies and trends to recommend innovative solutions. Take a leadership role in the management of the technical enablement team and contract workers (CWs) by educating, motivating, and guiding in delivery and maintenance of this service delivery to enrich business area strategy Champion innovation to elevate Amgen's Safety systems, empowering the business to improve its processes, efficiency, and effectiveness. This involves integrating cognitive capabilities to thoughtfully automate traditional, manual processes. Promote the adoption of global technology capabilities and standards to address complex business challenges. Lead strategic and operational activities, including securing funding, managing RFP processes, assessing solution options, forecasting, resource and demand planning, vendor coordination, and overseeing run and build operations across product teams. Oversee, mentors and lead a dedicated team comprised of engineers. Improve procedures associated with Maintenance and Support. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 8 to 10 years of Computer Science, IT or related field experience OR Bachelors degree with 10 - 14 years in Computer Science, IT or related field experience OR Diploma and 14 to 18 years of computer science and engineering preferred, other Engineering field experience will be considered Preferred Qualifications: Proven experience 5+ years in the IT Industry with work experience in Analysis, Design, Development, Testing and Maintenance of software applications in a SaaS environment or in a Health & Life Sciences industry. 5+ years of experience in a technical or engineering leadership role Experience of working on and leading major programs/projects that involve multiple partners and external vendors and leading end-to-end from initiation to project closure Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements Strong communications skills in writing, speaking, making pitches to various audiences in a clear and concise manner Experience in database programming and knowledge of concepts in SQL (e.g. Oracle or Postgres) Experienced with cloud computing technologies (e.g. AWS, Azure) and integration technologies (e.g. Mulesoft, databricks). Experience in DevOps, and Scaled Agile Framework (SAFe), especially in regulated setting including ability to lead the transformation of teams from a service based to a product-based model Experience with Quality Control and Quality Assurance processes and systems Demonstrable experience in group facilitation ability to guide teams to make decisions and achieve results within agreed parameters & timescales Strong background in conflict resolution and fostering teamwork between technical teams and customers In-depth experience in all aspects of SDLC from requirements, design, testing, data analysis and Change Control process combined with experience developing project charters, statement of work and project financials Experienced in leading vendor relationships, contract negotiations, and ensuring alignment with long-term technology solutions An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific data strategy, data governance, data infrastructure Experience with stakeholder management, leading a team of 20, ensuring seamless coordination across teams and driving the successful delivery of technical projects Familiarity with data analytics and visualization platforms such as Databricks, Spotfire, Tableau, Power BI, and Cognos, combined with strong programming skills in languages like SQL and Python for data processing and analysis. Experience creating impactful slide decks and presenting data Ability to drive projects/company initiatives using Agile methodology We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Extensive experience in managing and delivering technology solutions in a GxP environment Knowledge of drug safety databases and tools such as Argus or ArisG, including an understanding of adverse event reporting requirements. Professional Certifications: SAFe for Teams certification (preferred) Advanced certifications in cloud technologies (e.g. AWS Solutions Architect) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global teams High degree of initiative and self-motivation Ability to lead multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills in translating technical insights into impactful narratives for senior executives Ability to deal with ambiguity and think on their feet Ability to influence and drive to an intended outcome Ability to hold team members accountable to commitments Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

Job Description: Minimum 3 years post qualification experience in IT Industry. Preferred: Hands-on experience in relevant field (within essential requirement of post basic qualification experience) in: Hands-on experience with any of the AI technologies - Machine Learning, Deep learning, Neural Networks Natural Language Processing, NLG and GenAI LLMS (LLMA 2, LLMA 3, Gemini, OpenAI, Open-Source models, etc,), SLMs. Proficiency in high-level programming languages like Python, C++, R. Preferred knowledge in practical applications of AI /ML, DL across Banking use cases. Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. Strong understanding of explainable and Responsible/ Ethical AI framework. Experience in working with Tensor Flow, Keras, Pytorch. End to End AI Model development and Deployment. Design and develop AI-based banking applications and products. Work on bug fixing and improving application performance. Essential: B.Tech/ B.E. in Computer Science/ Computer Science & Engineering/Information Technology or Equivalent Degree in above specified disciplines with minimum 50% score.Or MCA or equivalent Or M.Tech/ M.Sc. in Computer Science/ Computer Science & Engineering/ Information Technology or Equivalent Degree in above specified disciplines. (From a University/ Institution/ Board recognized by Govt. Of India/approved by Govt. Regulatory Bodies) Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate IBM AI Engineering Professional Certificate Google Professional Machine Learning Engineer Maximum Age 35 years Interested professionals are requested to apply thru this link ------ https://shorturl.at/ZJe4N

Job Title: AI/ML and Chatbot Lead Experience Level: 10+ Years (Lead/Architect level) Location: Remote Employment Type: Full-time No. of Positions: 1 Job Overview: We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will establish and scale our AI Lab function, define chatbot and multimodal AI strategies, and deliver intelligent automation solutions that enhance user engagement and operational efficiency. Key Responsibilities Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs). Build an AI/Chatbot Lab , creating a roadmap and driving innovations across in-app, generative, and conversational AI. Architect scalable AI/ML systems including presentation, orchestration, AI, and data layers. Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver impactful AI use cases. Identify and implement agentic AI capabilities and SaaS optimization opportunities. Deliver POCs, pilots, and MVPs owning the design, development, and deployment lifecycle. Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers . Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel . Integrate bots with platforms like Salesforce, NetSuite, Slack , and custom applications via APIs/webhooks. Implement and monitor chatbot KPIs using tools like Kibana , Grafana , and custom dashboards. Champion ethical AI , governance, and data privacy/security best practices. Must-Have Skills 10+ years in AI/ML; demonstrable success in chatbot, conversational AI , and generative AI implementations. Experience building and operationalizing an AI/Chatbot architecture framework used enterprise-wide. Expertise in: Python , LangChain, ElasticSearch, NLP (spaCy, NLTK, Hugging Face) LLMs (e.g., GPT, BERT), RAG, prompt engineering Chatbot platforms (Azure OpenAI, MS Bot Framework), CLU, CQA AI solution deployment and monitoring at scale Familiarity with: Machine learning algorithms, deep learning, reinforcement learning NLP techniques for NLU/NLG Cloud platforms ( AWS, Azure, GCP ), Docker , Kubernetes Vector DBs (Pinecone, Weaviate, Qdrant) Semantic search, knowledge graphs, intelligent document processing Strong grasp of AI governance , documentation, and compliance standards Excellent team leadership, communication, and documentation skills Good-to-Have Skills Experience with Glean , Perplexity.ai , Rasa , XGBoost Familiarity with Salesforce , NetSuite , and business domains like Customer Success Knowledge of RPA tools like UiPath and its AI Center Role & responsibilities Interested candidate can call at 7087707007

"Experience Data science, Gen AI, Machine Learning, NLP (Hugging Face, Transformers, LLMs like BERT/GPT), building custom chatbots, NLU/NLG. Strong programming in Python, SQL expertise, and excellent analytical skills."