4 Nlpnlu Jobs

As a talented Kore.ai Developer with over 3 years of experience in developing, deploying, and managing AI-powered automation solutions using the Kore.ai XO Platform (version 11+), you will play a crucial role in implementing cutting-edge AI Business Automation projects. Your expertise in Conversational AI, Generative AI, and Contact Center AI, coupled with a deep understanding of NLP/NLU, LLM integrations, and Conversational Design principles, will be instrumental in helping clients enhance their Customer Experience (CX) and Employee Experience (EX) through intelligent automation. You will be responsible for working on diverse AI Business Automation projects spanning various industries, leveraging your proficiency in Conversational AI & Generative AI development, Voice AI, AI Chatbots, and Conversational Design & Agentic Platforms. Your strong grasp of automation AI, search AI, agent AI, contact center AI, RAG, LLM integration, NLP/NLU, and prompt engineering will be essential for successfully executing these projects. To excel in this role, you should possess a solid foundation in JavaScript and Python for scripting and bot customization, as well as a robust knowledge of API integration and backend connectivity, including RESTful services and webhooks. Experience in Full Stack Development would be advantageous, along with familiarity with AI Business Automation use cases in sectors such as healthcare, BFSI, retail, and manufacturing. Your problem-solving abilities, analytical skills, and excellent communication and collaboration skills will be pivotal in driving the success of AI deployments. Additionally, having experience integrating with enterprise contact center solutions, familiarity with Agent AI and Voice Bot implementations, exposure to LLM platforms like OpenAI, Anthropic, or Google Vertex AI, and proficiency in cloud platforms such as Azure, AWS, or GCP would be beneficial. By joining our team, you will have the opportunity to work on AI-first solutions that revolutionize businesses, engage in enterprise-scale projects across diverse industries, gain exposure to next-gen AI technologies and platforms, and avail career advancement opportunities along with certification support.,

We are seeking a Technical Support Manager for our cutting-edge CRM platform. In this role, you will be tasked with cultivating relationships with our esteemed clients, facilitating onboarding processes, and driving product adoption by leveraging our best practices, innovations, and capabilities to enhance customer satisfaction. As the Technical Support Manager, you will provide technical expertise along with a comprehensive understanding of customer support methodologies to enhance business value and customer contentment. Our dedicated teams are committed to demonstrating the advantages of our technology to our clients. By joining our team, you will have a pivotal role in comprehending customer requirements and influencing the direction of customer support. Responsibilities: - Foster trust by ensuring the company upholds commitments to clients, promptly address and resolve customer issues, manage expectations, and coordinate activities as agreed upon. - Develop an in-depth understanding of our product and assist customers in doing the same, including upcoming features. - Identify how customers define success with our product and aid them in achieving their objectives. - Offer proactive guidance and innovative solutions to tackle customer business challenges, strengthen relationships, and enhance product usage. - Advocate for customer needs in internal discussions and projects. - Serve as the primary contact for customers and key stakeholders regarding complex issues. - Lead knowledge sharing initiatives across products and clients. - Utilize customer data to illustrate the transformative impact of our product and its value on customer businesses. - Collaborate with product and engineering teams on customer feedback and feature enhancements. Skills & Requirements (Must Have): - Proficiency in CRM Applications such as Salesforce, JIRA, Zoho, Freshdesk, ZenDesk, etc. - Thorough understanding of Technical Support Processes and Metrics. - Experience in overseeing 24 X 7 Technical Support Teams and Processes. - Familiarity with SAAS Applications. - Knowledge of AI/ML, NLP/NLU, and database technologies is advantageous. - Ability to swiftly grasp and work with emerging technologies, methodologies, and solutions for customer support and success. Qualification & Experience: - 6 to 9 years of experience in technical customer-facing roles encompassing Technical Support, Customer support, customer success, presales, post-sales consulting, and technical services. - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.,

You will be responsible for developing an AI-Driven Data Conversion Application by utilizing AI technologies to create a comprehensive data conversion application. Your tasks will include implementing AI algorithms for accurate data mapping from source to target, automating code generation using AI models, and applying AI-driven validation techniques to ensure data integrity and quality. Additionally, you will facilitate seamless code conversion using AI algorithms and collaborate with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Your role will also involve continuously monitoring and troubleshooting the AI-driven application to ensure optimal functionality, maintaining detailed documentation of methodologies and processes used in the application development, and keeping up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. To be successful in this role, you will need to have a Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages is required. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar is essential, as well as knowledge of data mapping techniques, strong code generation skills, experience with data validation, familiarity with code conversion, and experience with databases like SQL Server and MongoDB. Strong collaboration skills, problem-solving abilities, attention to detail, and at least 5 years of relevant experience in data science or a related field are also necessary. Preferred qualifications for consideration include experience in the Financial Services Industry and an understanding of compliance standards, certification in Data Science or AI/ML, experience with Master data management, Data Wrangling, and ETL Processes, familiarity with DevOps Tools like Jira, Confluence, and BitBucket, and experience with data and AI/ML Technologies such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous experience delivering AI solutions for complex data or conversions is also beneficial, including Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts, Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, and AI-Augmented Data Reconciliation.,

As a GEN AI and Machine Learning Engineer, you will be responsible for leveraging your Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field to develop and deploy machine learning and AI models. With a solid foundation in mathematics, statistics, and probability, you will utilize your strong programming skills in Python and proficiency in SQL/NoSQL databases to build analytical approaches based on business requirements. Your hands-on experience with Agentic AI frameworks will be crucial in building AI-driven features and solutions by collaborating with software engineers, business stakeholders, and domain experts. You will have the opportunity to work with Generative AI models and tools like OpenAI, Google Gemini, and Runway ML, in addition to AI/ML and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Keras. In this role, you will preprocess and analyze large-scale datasets to extract meaningful insights, identify trends, and develop RESTful APIs using Flask or Django. Proficiency in cloud environments like AWS, Azure, or GCP will be essential as you deploy AI/ML applications and continuously monitor model performance for accuracy, scalability, and generalization. Additionally, your familiarity with ML operations tools such as MLFlow, Kubeflow, and CI/CD pipelines will be advantageous in evaluating and optimizing model performance. Experience with Docker, Kubernetes, and container orchestration, as well as frontend technologies like HTML, CSS, JavaScript/jQuery, Node.js, Angular, or React, will be beneficial for this role. Overall, as a GEN AI and Machine Learning Engineer, you will play a key role in designing, developing, and deploying AI/ML, NLP/NLU, and deep learning models and applications. Your ability to document development processes, results, and best practices will contribute to transparency and continuous learning within the organization.,