Senior Data Scientist - NLP and AI Specialist

Job Description Role Overview: As a Senior Data Scientist with expertise in Natural Language Processing (NLP) and advanced AI techniques, you will join the dynamic team at Freshworks. Your pivotal role involves driving the development of cutting-edge solutions, specifically focusing on retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI for the innovative bots platform. Your deep knowledge and experience will be leveraged to tackle complex challenges, deliver impactful results, and shape the future of conversational AI technology. Key Responsibilities: - Strategic Problem Solving: - Identify and define critical business problems that can be addressed through advanced machine learning and NLP techniques. - Translate complex requirements into actionable data science projects. - Advanced Model Development: - Design, develop, and deploy sophisticated NLP models, including LLMs and retrieval systems for applications such as answer generation and conversational AI. - Utilize RAG methodologies to enhance model performance and accuracy. - Algorithmic Expertise: - Apply your deep understanding of machine learning algorithms, statistical methods, and mathematical principles to create innovative solutions that address real-world problems and drive user engagement. - Collaboration and Leadership: - Partner with product managers, engineers, and business stakeholders to understand requirements, define success metrics, and ensure alignment with business objectives. - Lead cross-functional teams to deliver end-to-end solutions. - System Architecture and Scalability: - Oversee the integration of machine learning models into production systems. - Collaborate with engineering teams to build scalable, high-performance data pipelines and ensure robust deployment of models in live environments. - Research and Innovation: - Stay at the forefront of research in NLP, AI, and related fields. - Contribute to the advancement of the company's technology stack and explore new methodologies to maintain a competitive edge in the industry. Qualifications: - Experience: - Minimum of 3 years of experience in data science, with a strong focus on NLP, machine learning, and AI technologies. - Proven track record of developing and deploying NLP models and working with large-scale data systems. - Technical Skills: - Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), NLP libraries (e.g., spaCy, Hugging Face Transformers), and experience with retrieval-augmented generation (RAG) techniques. - Proficiency in programming languages such as Python and familiarity with big data technologies (e.g., Hadoop, Spark) is required. - Education: - Master's or Bachelor's in Computer Science, Data Science, Statistics, or a related field. - Problem Solving: - Strong problem-solving skills. - Communication: - Excellent verbal and written communication skills. - Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively across teams. (Note: Additional details about the company were not included in the provided job description.) Role Overview: As a Senior Data Scientist with expertise in Natural Language Processing (NLP) and advanced AI techniques, you will join the dynamic team at Freshworks. Your pivotal role involves driving the development of cutting-edge solutions, specifically focusing on retrieval-augmented generation (RAG), large language models (LLMs), and agentic AI for the innovative bots platform. Your deep knowledge and experience will be leveraged to tackle complex challenges, deliver impactful results, and shape the future of conversational AI technology. Key Responsibilities: - Strategic Problem Solving: - Identify and define critical business problems that can be addressed through advanced machine learning and NLP techniques. - Translate complex requirements into actionable data science projects. - Advanced Model Development: - Design, develop, and deploy sophisticated NLP models, including LLMs and retrieval systems for applications such as answer generation and conversational AI. - Utilize RAG methodologies to enhance model performance and accuracy. - Algorithmic Expertise: - Apply your deep understanding of machine learning algorithms, statistical methods, and mathematical principles to create innovative solutions that address real-world problems and drive user engagement. - Collaboration and Leadership: - Partner with product managers, engineers, and business stakeholders to understand requirements, define success metrics, and ensure alignment with business objectives. - Lead cross-functional teams to deliver end-to-end solutions. - System Architecture and Scalability: - Oversee the integration of machine learning models into production systems. - Collaborate with engineering teams to build scalable, high-performance data pipelines and ensure robust deployment of models in live envi