Description

Job Description We're seeking a highly skilled Data Scientist/AI Engineer to join our passionate team and contribute to the development of cutting-edge RAG models and large language models, leveraging advanced techniques in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG). As a Senior Machine Learning Engineer specializing in Conversational AI, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our conversational AI product suite. You will collaborate closely with multi-functional teams including product managers, software engineers, and data scientists to ensure the magnificent integration of machine learning capabilities into our solutions. Career Level - IC3

Role and Responsibilities

• Responsibilities You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts Fine-tune and optimize large language models such as Cohere for specific use cases in the technology, Construction & utilities domain. Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth Key Responsibilities: Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems. Use & build vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts. Fine-tuned and optimized use of large language models such as Cohere for specific use cases in the technology & Industries (Construction, Utilities) domain. Implement and experiment with powerful NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products. Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance. Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage. Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth. Qualifications: Master's degree or higher in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred. 5+ years of experience in machine learning engineering, with a focus on building and deploying conversational AI solutions. Confirmed expertise in developing RAG models, working with vector databases, and fine-tuning large language models. Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX. Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation. Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems. Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders Experience with OCI/AWS and related services is desirable.