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5.0 - 9.0 years
0 Lacs
maharashtra
On-site
As a Senior Data Scientist with expertise in Deep Learning and NLP, you will be responsible for researching, designing, and developing core Artificial Intelligence (AI) and Machine Learning (ML) algorithms. Your essential skills will include working experience with various AI frameworks, such as CRFs, BERT/Transformers, and text summarization models. You should have past experience in Entity Detection and Disambiguation, Intent Detection, and deploying machine learning models in a production environment using tools like TensorFlow Serving. Your role will involve collaborating with functional domain experts, implementation teams, and AI backend teams to ensure efficient product development, production release, and development cycles. It is crucial to stay updated with the latest AI developments, including training libraries/frameworks, Reinforcement Learning, and Deep Learning, by reading and researching state-of-the-art papers in NLU problems. You will work with large datasets of support tickets and unstructured data sources, building Deep Learning models in TensorFlow for GPUs and CPUs. Additionally, collaborating with Backend Engineers to deploy your models to production will be part of your responsibilities. Your background should include a Bachelor's degree in B.E/B.Tech, with a strong industry focus on IT/Computers-Software. You must possess a good understanding of Transfer Learning concepts, Question-Answering Framework, and have experience in building production-ready NLP systems. Familiarity with Distributed systems like Docker, Kubernetes, and Azure, as well as working knowledge of Linux OS, will be beneficial for this role. If you have the passion and skills to work on cutting-edge AI technologies, this Senior Data Scientist position offers a challenging opportunity to contribute to the development of innovative NLP systems in a dynamic environment.,
Posted 1 day ago
1.0 - 5.0 years
0 Lacs
coimbatore, tamil nadu
On-site
As an AI Developer, you will be responsible for developing AI and ML models with a focus on natural language understanding, intent detection, and smart response generation. You will work with Large Language Models (LLMs), including techniques like Retrieval-Augmented Generation (RAG), to construct knowledge-based AI systems. Collaboration with engineering and product teams will be essential to seamlessly integrate AI solutions into real-world applications and platforms. Additionally, you will continuously test, refine, and optimize models for accuracy, performance, and scalability. It is imperative to write clean, maintainable code and adhere to AI development best practices while actively contributing to team documentation. This is a full-time position with benefits including cell phone reimbursement, provided food, health insurance, paid sick time, and Provident Fund. The work schedule is during the day. The preferred educational qualification is a Bachelor's degree, and ideally, you should have a total of 1 year of experience, with specific experience as an AI Developer for 1 year. The work location for this role is in person.,
Posted 4 days ago
5.0 - 9.0 years
0 Lacs
chennai, tamil nadu
On-site
As a Contact Centre Data and AI Architect, you will be responsible for leveraging your deep knowledge of Genesys (including InfoMart, UCS, GAAP, SpeechMiner, WFM, and Routing) and Five9 data ecosystem. Your expertise will be crucial in supporting the migration of contact centers to CCaaS and developing data solutions around this migration. Your role will involve defining a data strategy to migrate historical and real-time data to the cloud while ensuring minimal disruption to downstream systems. You will need to understand data models for Genesys (InfoMart, SpeechMiner) and create mappings to cloud equivalents. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Furthermore, you will evaluate and recommend data architectures that minimize the impact on downstream systems during the migration to CCaaS. Your expertise will be pivotal in identifying opportunities to enhance customer experience through AI technologies such as intent detection, virtual assistants, predictive routing, and sentiment analysis. Collaboration with internal AI/ML teams is crucial to define data-driven automation use cases and implementation strategies. Working closely with IT, customer service operations, business teams, and external CCaaS vendors will be part of your daily responsibilities. Additionally, you will participate in vendor evaluations and selection processes for CCaaS and AI solutions. Your role will also involve engaging in interviews with various business stakeholders to understand their contact center needs and assess the impact on downstream applications. This position requires a high level of expertise in contact center data and AI technologies, strong collaboration skills, and the ability to drive successful migration strategies.,
Posted 1 week ago
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