36 Nlu Jobs

Role Overview: As a GenAI Specialist at Birlasoft, you will be completely hands-on with building applications using GenAI models and frameworks. You will serve as the primary technical expert for GenAI technologies, focusing on enhancing the GenAI footprint across clients by developing, implementing, and optimizing advanced AI models and solutions. Your role will involve 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. Additionally, you will evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities, provide technical leadership and mentorship to teams, and troubleshoot and resolve complex platform integration and functionality issues. Your proactive approach will involve creating blueprints, PoCs, and pilots by independently building quick prototypes and demonstrating them to key decision-makers. Key Responsibilities: - Serve as the primary technical expert for GenAI technologies - Drive innovation and ensure successful integration of AI technologies into IT services for clients - Define best practices, standards, and templates for AI solutions - Conduct workshops, demos, and client presentations on GenAI use cases - Collaborate with cross-functional teams to identify, evaluate, and implement use cases across different customers - 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 Qualifications Required: - 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI/Gen AI technologies (OpenAI, Anthropic, Hugging Face, etc.) - Expertise in NLP, NLU, and NLG technologies - Solid understanding of API integrations, backend systems, and data flows - Programming skills in Python, Node.js, Java, or similar languages for API programming - Familiarity with LLMs (Large Language Models), prompt engineering, fine-tuning, and embeddings - Strong problem-solving skills and solution architecture capabilities - Excellent client-facing communication skills with the ability to translate business needs into technical solutions - Experience working with cloud platforms such as AWS, Azure, and GCP - Ability to manage multiple projects and priorities in a fast-paced environment.,

About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Experience Level: 8-20 Years Locations – Pune / Bengaluru / Hyderabad / Gurugram / Chennai/ Mumbai Notice period – Immediate - 30 days only Mandate Skills – Role/Function: Business Analyst, BA, Conversation Banking BA, Chat BA, Conversational AI BA Domain/Capability: Chat on Digital Journeys, Conversational Banking, AI Chat, Chatbot, Voicebot, Digital Banking Journeys Tech/Platforms: Skills: Agile, Jira, Confluence, NLU, Customer Experience, Digital Transformation Please see JD below: Job Description Job Description – BA (Conversation Banking – Chat): Must Have Skillsets: Strong experience working on Chat-based digital journeys across mobile and web platforms . Hands-on exposure to Chatbot and Voicebot implementation leveraging AI/Gen AI technologies . Knowledge and practical experience with NLU (Natural Language Understanding) platforms , such as: RASA Google Dialogflow Poly AI Sierra Dyna (or similar platforms) Good to Have Skillsets: Relationship Manager (RM) chat channel experience (e.g., WhatsApp, WeChat, or other messaging channels). Exposure to Genesys Cloud contact center integration . Additional Skills: Strong business analysis skills , including requirements gathering, user story creation, backlog refinement, and Agile ways of working. Ability to collaborate across Product Owners, Digital Product Managers, UX teams, and technical delivery teams . Excellent stakeholder management, communication, and problem-solving skills .

As a Senior Applied Scientist at Oracle Cloud Infrastructure, you will be part of the Generative AI and AI Solutions Engineering team, working on building advanced AI solutions that address real-world challenges. Your role will involve: - Designing, building, and deploying cutting-edge machine learning and generative AI systems, focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. - Collaborating with scientists, engineers, and product teams to transform complex problems into scalable AI solutions ready for the cloud. - Developing models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. - Conducting experiments, exploring new algorithms, and pushing the boundaries of AI to enhance performance, customer experience, and business outcomes. - Ensuring the implementation of ethical and responsible AI practices in all solutions. You are an ideal candidate for this role if you possess deep expertise in applied ML/AI, hands-on experience in building production-grade solutions, and the ability to innovate at the intersection of AI and enterprise cloud. Join us at Oracle Cloud Infrastructure to blend the speed of a startup with the scale of an enterprise leader.,

How will you make an impact IVA Implementation & Optimization: Implement, monitor, and maintain the health and functionality of our Intelligent Virtual Assistants. NLU Model Optimization: Continuously assess and optimize NLU models for improved understanding, accuracy, and efficiency in processing and responding to user queries. Data Analysis: Analyze IVA containment performance data, user interactions, and feedback to identify areas for improvement and develop data-driven optimization strategies. Leverage Interaction Analytics for insights into continuous improvement opportunities for the IVA Testing and Quality Assurance: Conduct thorough testing and quality assurance to identify and rectify any system bugs, inconsistencies, or performance bottlenecks. Collaboration: Collaborate closely with cross-functional teams, including developers, consultants, data scientists, and product managers, to implement optimization strategies and updates. Design, develop, deploy, and maintain a suite of automated / repeatable BI solutions consisting of numerous dashboards, scorecards and other reports and visualizations. Able to communicate complex analysis and insights to various stakeholders inside and outside of analytical teams. Handle tough data challenges & technical problems as they arise. Develop presentations and present recommendations to Business Consultants and NICE Customers including functional operating teams. Create continuous improvement programs to achieve financial goals via NICE solutions. Have you got what it takes Total 12 years and relevant 4+ years experience in Contact Center Industry, strong knowledge of contact center KPIs Proven experience in implementing, maintaining and optimizing Intelligent Virtual Assistants (IVAs) and NLU models, preferably in a professional capacity. Deep Experience analyzing and deriving insights from interaction analytics data. Strong proficiency in programming languages, particularly Python. Experience with Groovy, JavaScript, Regex, CSS, JSON preferred. Exceptional understanding of NLU concepts, Natural Language Processing (NLP), and IVA development. Strong Familiarity with IVA development platforms, conversational design, and NLU tools. Proven record of working with Business Consulting teams, direct Consulting experience a plus Strong technical background and experience in large complex enterprise systems Advanced Excel, SQL experience Advanced skills developing reports and dashboards using tools such as Python, Power BI, or Tableau Ability to work successfully with clients and business partners directly. Proven record in training, guiding resources through complex software solutions Excellent problem-solving ability in high pressure situations Domain experience with contact center IVR & Routing; Workforce Management; Performance Management; Back Office Management; Process Automation (Robotics); or Quality Management solutions a plus Bachelors degree in Computer Science, Artificial Intelligence, Machine Learning, or related analytical field of study (advanced degree preferred)- or related experience.

As a Principal Applied Data Scientist at Oracle Cloud Infrastructure, you will be responsible for designing, building, and deploying cutting-edge machine learning and generative AI systems. Your focus will primarily be on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Key Responsibilities: - Collaborate with scientists, engineers, and product teams to transform complex problems into scalable AI solutions suitable for enterprises. - Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. - Conduct experiments, explore new algorithms, and push the boundaries of AI to enhance performance, customer experience, and business outcomes. - Ensure the implementation of ethical and responsible AI practices across all solutions. Qualifications Required: - Deep expertise in applied ML/AI. - Hands-on experience in building production-grade solutions. - Creativity to innovate at the intersection of AI and enterprise cloud. Oracle Cloud Infrastructure is known for blending the speed of a startup with the scale of an enterprise leader. The Generative AI Service team focuses on building advanced AI solutions that address real-world, global challenges using powerful cloud infrastructure.,

As a Conversational AI Dev at NTT DATA, you will be part of a dynamic team in Chennai, Tamil Nadu, India. With over 5 years of experience, you will utilize your expertise in Python, Behavior Tree, Prompt Engineering, RAG, Graph DB (neo4j), LLM, Gemini Vertex, NLP, NLU, and GuardRails to contribute to innovative projects. NTT DATA, a trusted global innovator with a focus on business and technology services, values inclusivity and forward-thinking individuals. Our commitment to helping clients innovate and optimize for long-term success is evident through our diverse team of experts across more than 50 countries. As a Conversational AI Dev, you will have the opportunity to work with Fortune Global 100 clients and collaborate with a robust partner ecosystem. NTT DATA's services encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. Join us at NTT DATA, a leading provider of digital and AI infrastructure, and be part of the NTT Group's mission to invest in R&D for a confident and sustainable digital future. Learn more about us at us.nttdata.com.,

NTT DATA is looking for a Conversational AI Developer to join their team in Chennai, Tamil Nadu, India. As a Conversational AI Dev, you should have at least 5 years of experience and expertise in Python, Behavior Tree, Prompt Engineering, RAG, Graph DB (neo4j), LLM, Gemini Vertex, NLP, NLU, and GuardRails. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. They serve 75% of the Fortune Global 100 and have a diverse team of experts in more than 50 countries. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is known for being one of the leading providers of digital and AI infrastructure in the world. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive, adaptable, and forward-thinking organization, apply now to join NTT DATA in their mission to drive innovation and transformation for clients worldwide.,

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will: Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises. Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes. Ensure ethical and responsible AI practices in all solutions. We're looking for a Principal Applied Data Scientist with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud. As a Principal Applied Data Scientist in Oracle's OCI Gen AI & AI Solutions Engineering team, you'll shape the future of enterprise AI for our most strategic customers. You'll lead the design and delivery of next-generation generative AI and machine learning solutions-leveraging cutting-edge technology and Oracle's enterprise-scale cloud to solve complex, high-impact problems in industries like finance, telecom, healthcare, and software development. Lead and mentor teams from concept to delivery, driving product quality and innovation. Design and implement high-quality code for experiments and production ML models. Collaborate with product and engineering teams to deliver customer-focused, market-differentiating AI solutions. Conduct independent R&D to advance state-of-the-art ML with a focus on fairness and explainability. You will: Partner closely with customers to understand their vision, define requirements, and deliver AI solutions that remove blockers and unlock value. Dive deep into model architectures to maximize performance, scalability, and reliability. Build state-of-the-art solutions using emerging Gen AI and ML technologies. Configure and optimize large-scale OpenSearch clusters, including ingestion pipelines for high-volume data. Diagnose and resolve challenges in AI model training, deployment, and serving. Create reusable solution patterns and reference architectures that accelerate adoption across multiple customers. Act as a product evangelist-showcasing our innovations at customer meetings, industry events, and conferences. Collaborate with world-class scientists, engineers, and product managers in a fast-moving, high-impact environment. Qualifications Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development. Proven track record designing, building, and deploying scalable AI/ML solutions in production environments. Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization). Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization. Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving. Hands-on experience with NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LlamaIndex). Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers). Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations. Collaborative mindset with experience working closely with product managers, engineers, and customers. Ability to mentor and guide junior data scientists or ML engineers. Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events. Career Level - IC4

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. In this role, you will: Design, build, and deploy cutting-edge machine learning and generative AI systems, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search. Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises. Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision. Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes. Ensure ethical and responsible AI practices in all solutions. We're looking for a Principal Applied Data Scientist with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud. As a Principal Applied Data Scientist in Oracle's OCI Gen AI & AI Solutions Engineering team, you'll shape the future of enterprise AI for our most strategic customers. You'll lead the design and delivery of next-generation generative AI and machine learning solutions-leveraging cutting-edge technology and Oracle's enterprise-scale cloud to solve complex, high-impact problems in industries like finance, telecom, healthcare, and software development. Lead and mentor teams from concept to delivery, driving product quality and innovation. Design and implement high-quality code for experiments and production ML models. Collaborate with product and engineering teams to deliver customer-focused, market-differentiating AI solutions. Conduct independent R&D to advance state-of-the-art ML with a focus on fairness and explainability. You will: Partner closely with customers to understand their vision, define requirements, and deliver AI solutions that remove blockers and unlock value. Dive deep into model architectures to maximize performance, scalability, and reliability. Build state-of-the-art solutions using emerging Gen AI and ML technologies. Configure and optimize large-scale OpenSearch clusters, including ingestion pipelines for high-volume data. Diagnose and resolve challenges in AI model training, deployment, and serving. Create reusable solution patterns and reference architectures that accelerate adoption across multiple customers. Act as a product evangelist-showcasing our innovations at customer meetings, industry events, and conferences. Collaborate with world-class scientists, engineers, and product managers in a fast-moving, high-impact environment. Qualifications Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development. Proven track record designing, building, and deploying scalable AI/ML solutions in production environments. Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization). Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization. Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving. Hands-on experience with NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LlamaIndex). Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers). Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations. Collaborative mindset with experience working closely with product managers, engineers, and customers. Ability to mentor and guide junior data scientists or ML engineers. Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events. Career Level - IC4

Job Title: ServiceNow Developer Position: Senior Software Engineer Experience: 5 to 10 Years Category: Software Development/Engineering Job Location: Bangalore & Chennai ServiceNow Developer to support enhancements to the existing Virtual Agent (VA) and ServiceNow portal. This role will gather requirements from the Virtual Agent Knowledge Management team, develop and update VA topics and NLU models, and modify the portal to meet new business needs. Your future duties and responsibilities Key Responsibilities: Collaborate with the VA Knowledge Management team to capture and refine requirements. • Develop and maintain Virtual Agent topics and NLU models within ServiceNow. • Monitor and review daily VA conversation exports to identify improvement opportunities. • Implement portal enhancements to extend functionality (e.g., display additional approver/delegate details). • Modify existing capabilities as needed to address new requirements not handled by the VA. Required qualifications to be successful in this role Must to have skills: Virtual Agent, NLU models, Implement portal enhancements to extend functionality (e.g., display additional approver/delegate details). Good to have skills: Modify existing capabilities as needed to address new requirements not handled by the VA.

As a Senior AI Engineer at EY, you will be responsible for designing and implementing solutions based on AI and Machine Learning. With 4+ years of relevant experience, you will lead and guide a team of Junior Developers. Your role will involve designing technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and ensuring their successful implementation. You will contribute to the development of AI solutions by leveraging techniques such as deep learning, computer vision, natural language processing, and more. In this position, you will play a crucial role in planning and implementing version control of source code, defining best practices for software development, and contributing to high-value offerings through AI technologies. Your expertise in deep learning architectures, algorithms, and experience in solving industry problems using methods like RNN, LSTM, and convolutional neural nets will be essential. You should also have hands-on experience with open source libraries such as Keras, Tensor Flow, and Pytorch. Your responsibilities will include creating technical designs, collaborating with business analysts to develop robust solutions, and training and leading a team of technical developers. Proficiency in Python for AI/ML projects, experience with Microsoft technologies like ASP.Net and C#, and familiarity with cloud solutions such as Azure or AWS will be advantageous. You should also be comfortable working with global, multi-cultural teams and building strong relationships with project stakeholders. Join EY in shaping a better working world by leveraging data, AI, and advanced technology to address current and future challenges. With a focus on creating new value for clients, society, and the planet, EY offers opportunities to work across a full spectrum of services in assurance, consulting, tax, and more. By being part of the EY team, you will have the chance to develop innovative solutions and contribute to building trust in capital markets.,

As an Analyst in Customer Experience Management, you will be responsible for collaborating with clients to design and implement strategic customer service initiatives. Your role will involve integrating GenAI capabilities into contact center and self-service solutions, delivering intelligent automation and personalized customer interactions. You will also manage stakeholder expectations, resolve project issues, and implement orchestration platforms for contact center solutions. To excel in this role, you should possess skills in Customer Experience Management, knowledge of CCaaS platforms and Nice CXone, experience with Conversational AI, NLU, NLP, and multichannel applications (SMS, Email, Chat, Web), understanding of contact center infrastructure components and orchestration platforms, familiarity with GenAI integration for automation and personalization, API integrations, Java, WebServices, Containerization (Kubernetes), and experience with auxiliary systems like WFM, Recording, Quality Management. You will lead multichannel self-service and IVR solution design, apply emerging technologies in customer experience and AI, participate in pre-sales activities and solution presentations, and contribute to innovation through reusable assets and market analysis. This role offers the opportunity to work on transformative projects with global clients, exposure to cutting-edge technologies and AI-driven customer experience platforms, and an inclusive and collaborative work environment with career growth opportunities. The ideal candidate for this position should have a minimum of 2 years of experience in delivering voice and non-voice customer interaction solutions using application development tools and implementing customer experience management tools. Additionally, a Bachelors Degree in Engineering (B-Tech/BE), MCA, MBA, or PGDM from a Tier 1 or 2 institution is required.,

DESCRIPTION The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 5+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. - 3+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment - 3+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences - Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills - Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

As a Senior AI Engineer at EY, you will be responsible for designing and implementing solutions based on Artificial Intelligence (AI) and Machine Learning (ML). With 4+ years of relevant experience, you will lead and guide a team of Junior Developers while designing technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, and NLG projects. Your expertise will contribute to the development of AI solutions using techniques such as deep learning, computer vision, natural language processing, and more. Your role will involve creating technical designs, implementing them in production, and utilizing deep learning architectures and algorithms to solve industry problems. Experience with open source libraries like Keras, Tensor Flow, and Pytorch will be essential, along with the ability to work with business analysts and consultants to create strong solutions. Your proficiency in Data Science, Python, and other programming languages will be crucial for developing AI/ML projects and training a team of technical developers. Desired qualifications include experience with Microsoft technologies like ASP.Net, C#, and HTML5, knowledge of cloud solutions such as Azure or AWS, and familiarity with container technologies like Docker. Your ability to collaborate with global teams, build relationships with project stakeholders, and stay updated on the latest advancements in AI and ML will be key to success in this role. Join EY and be part of a team that is dedicated to building a better working world by leveraging data, AI, and advanced technology to create new value for clients and society. With a focus on trust, innovation, and global connectivity, EY offers a platform where you can shape the future with confidence and contribute to solving the most pressing issues of today and tomorrow.,

You should preferably have a Masters in Computer Science or Electrical Engineering along with 8 years of experience in conducting research within the field of Artificial Intelligence, particularly in areas related to Machine Learning and Neural Networks. It would be beneficial if you can demonstrate a track record of publishing intellectual property, patents, and papers in top conferences that are focused on Computer Vision, Natural Language Understanding, and Expert Systems. Your expertise should also include building solutions for challenges in the Audio and Image domains using Machine Learning techniques. Moreover, you should have experience in delivering machine learning components on edge devices and possess knowledge of optimizing solutions at the device level. As a part of this role, you will be expected to lead a team of highly motivated individuals, providing guidance and direction through different stages of research. Your ability to translate high-level concepts into detailed plans and approaches for solution development will be crucial for success in this position.,

Greetings ! One our our client TOP MNC Giant looking for Data Scientist Important Notes: Only person who can join immediately or within 7 days ONLY APPLY Base Locations: Gurgaon and Bengaluru (hybrid setup 3 days work from office). Role: Data Scientist Exp: 4 to 8 Years Immediate Joiners Only Skills (must have) ? Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. ? Strong programming skills in languages such as Python, SQL etc. ? Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as Scikit-learn, TensorFlow, PyTorch etc. ? Experience in ETL and Datawarehouse tools such as Azure Data Factory,Azur e Data Lake or Databricks etc. ? Knowledge of math, probability, and statistics. ? Familiarity with a variety of ML algorithms. ? Good experience in cloud infrastructure such as Azure (Preferred), AWS/GCP ? Exposure to Gen AI, Vector DB, LLM (Large language Model) Skills (good to have) Experience in Flask/Django, Streamlit is a bonus Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc ? Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. ? Develop, implement, and deploy AI/ML solutions. ? Preprocess and analyze large datasets to identify patterns, trends, and insights. ? Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. ? Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. ? Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. ? Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. INTERESTED CANDIDATES PERFECT MATCH TO THE JD AND WHO CAN JOIN ASAP ONLY DO APPLY ALONG WITH BELOW MENTIONED DETAILS : Total exp : Relevant exp in Data Scientist : Applying for Gurgaon and Bengaluru : Open for Hybrid : Current CTC : Expected CTC : Can join ASAP : Will call you once we receive your updated profile along with above mentioned details. Thanks, Venkat Solti [HIDDEN TEXT] Show more Show less

The Sr. Technical Consultant is responsible for guiding clients through the implementation of ServiceNow GEN AI and platform integration. You will need to effectively communicate with technical and non-technical users and stakeholders to ensure the best fit for the unique needs of their business. As a ServiceNow application developer, you will be responsible for implementing GEN AI, Now Assist, and the ServiceNow platform. This includes working with workflows, integration, configuration, customization, orchestration, and access controls. You should have experience with out-of-the-box and custom use cases using ServiceNow Now Assist for ITSM, Now Assist Skill Kit, Generative AI Controller, Virtual Agent, Predictive Intelligence, and Performance Analytics. Your role will involve troubleshooting issues related to ServiceNow AI and Gen AI applications, aligning use case requirements with stakeholders, designing solutions, and guiding peer developers/team members in development and testing. You should have knowledge of AI concepts such as NLU, Machine Learning, and Prompt Engineering, as well as experience in integrating ServiceNow with ERP systems. Micro-certifications in Predictive Intelligence, Performance Analytics, Virtual Agent, and Now Assist are preferred. Holding certifications such as ServiceNow Certified Implementation Specialist ITSM (CIS-ITSM) and Certified Application Developer (CAD) is also advantageous. You will collaborate with the Scrum Master and Capability owners to prioritize Features, User Stories, and timelines for Platform Maintenance Initiatives. Additionally, you will lead the development efforts of the Scrum team, mentor junior and mid-level Software Engineers, review code, and perform unit testing. It is essential to stay updated on new capabilities in the platform, educate team members and customers, participate in recruiting, interviewing, and hiring new software engineering resources. Required Qualifications: - Bachelor's degree or 5+ years of equivalent experience - Experience leading other engineers - ServiceNow development skills in GEN AI, Automations, ML, etc. - Experience with ITSM processes (Incident/Problem/Request/Change management) - Experience with HRSD processes (Onboarding/Offboarding/Lifecycle event/EC) - Experience with CSM processes - Experience with Web-Services, AJAX, Business Rules, SOAP, REST SSO-SAML Setup, and Integration of ServiceNow to Other Applications - Experience in Virtual agent, Predictive Intelligence, Performance Analytics, and Now Assist - Experience in script includes business rules, Portal development, agent workspace - Experience customizing ServiceNow using UI Builder, UI Pages, UI Macro & CMS using CSS, HTML, Jelly, Angular 1.5 Preferred Qualifications: - ServiceNow IT Service Management or other relevant ServiceNow certifications and GEN AI micro-certifications - Demonstrated knowledge of application design, development, and implementation - Understanding of basic GEN AI Now Assist development concepts - Excellent human relations skills - Experience with maintaining automated testing scripts In summary, as a Sr. Technical Consultant, you will play a crucial role in implementing ServiceNow GEN AI and platform integration, collaborating with stakeholders, mentoring team members, and ensuring the best solutions for clients" unique business needs.,

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

The Sr. Technical Consultant is responsible for guiding clients through the implementation of ServiceNow GEN AI and platform integration. You will excel in communication with both technical and non-technical users and stakeholders, fostering a cooperative relationship to tailor solutions to their specific business needs. As a ServiceNow application developer, you will be accountable for implementing GEN AI, Now Assist, and the ServiceNow platform, following best practices for workflows, integration, configuration, customization, and access controls. Your experience should include successful implementations using ServiceNow features like Now Assist for ITSM, Generative AI Controller, Virtual Agent, and Performance Analytics. Proficiency in UI Builder, ServiceNow Scripting, and Flow Designer is essential, along with expertise in AI Search configurations. In this role, you will troubleshoot issues related to ServiceNow AI applications, align use case requirements with stakeholders, design solutions accordingly, and guide team members in development and testing. A solid understanding of AI concepts such as NLU, Machine Learning, and Prompt Engineering is crucial, as well as experience in integrating ServiceNow with ERP systems. Preferred qualifications include micro-certifications in Predictive Intelligence, Performance Analytics, Virtual Agent, and Now Assist, along with ServiceNow Certified Implementation Specialist ITSM (CIS-ITSM) and Certified Application Developer (CAD) certifications. You will collaborate with Scrum Master and Capability owners to prioritize features and user stories, assign development tasks, and lead the development efforts of the Scrum team. Mentoring junior and mid-level Software Engineers, reviewing code, performing unit testing, and staying updated on platform capabilities are also key responsibilities. Additionally, you will participate in recruiting, interviewing, and hiring new software engineering resources. Required qualifications: - Bachelor's degree or 5+ years of equivalent experience - Experience in ServiceNow development, including GEN AI and ML - Proficiency in ITSM processes, HRSD processes, CSM processes, and Web-Services - Strong skills in Virtual Agent, Predictive Intelligence, Performance Analytics, and Now Assist - Experience in customizing ServiceNow using various tools and languages such as UI Builder, CSS, HTML, Jelly, and Angular 1.5 Preferred qualifications: - ServiceNow certifications and GEN AI micro-certifications - Understanding of application design and development concepts - Excellent interpersonal skills for effective communication with stakeholders and team members - Familiarity with automated testing scripts and modern engineering practices The Sr. Technical Consultant role demands a proactive approach to learning new technologies, collaborating with users and customers to enhance solutions, and staying updated on industry trends. Your contributions in software engineering, customer-centric design thinking, technology acumen, business acumen, technology security standards, analytical thinking, problem-solving, and quality management will be crucial to the success of the team and organization.,

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.,

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.,

As the AVP-AI/ML Lead, your primary responsibility will be to develop innovative AI/ML solutions that cater to the specific business requirements and challenges faced by our clients. This will involve successfully managing project delivery, including data pre-processing, model training and evaluation, and parameter tuning, while ensuring stakeholder and customer expectations are met. You will be responsible for project blue printing, project documentation, and creating detailed project plans. It will also be crucial for you to stay updated on the latest advancements in AI/ML, particularly in the areas of NLP/NLU applications across various industries such as CPG and Finance. In this role, you will need to conceptualize, design, build, and implement solution algorithms within specified timelines. You will collaborate with clients to gather and analyze requirements, as well as develop effective analytics and text mining strategies. Working closely with digital development teams, you will integrate and optimize algorithms to create production-ready applications. Additionally, conducting applied research on diverse text analytics and machine learning projects, filing patents, and publishing papers will be part of your responsibilities. Preferred qualifications and skills for this role include expert knowledge in NLP, NLU, and various machine learning and deep learning methods. Proficiency in tools such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and NoSQL is essential. Experience in UI development for text mining insights visualization using platforms like Adobe Flex Builder, HTML5, and CSS3 is advantageous. Furthermore, familiarity with operating systems like Linux and Windows, GPU experience, and proficiency in distributed computing tools like Spark and Scala are desired. Knowledge of deep learning frameworks such as TensorFlow, Keras, Torch, and Theano will be beneficial in executing your responsibilities effectively.,

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.,