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Lead Data Scientist/ ML Engineer

1 month ago

Boston, United States Oracle Full time

About the Job

We're seeking a highly skilled Lead Data Scientist/AI Engineer to build the platform that will enable IGIU’s product portfolio to quickly uptake GenAI capabilities to make our products smarter, more efficient and a joy to use. You will collaborate closely with cross-functional teams including application product managers, software engineers, data scientists, data engineers, and user experience designers. As a Lead Data Scientist / 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 cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime. Responsibilities

What You’ll Make Happen 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 & Engineering and Energy & Water industries. Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products Collaborate with 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 cross-functional technical team, fostering a culture of continuous learning and growth About You

Minimum Requirements: Master's degree or higher in Computer Science, Engineering, Mathematics, or related experience. 6+ years of experience in data science, with a focus on building and deploying conversational AI solutions. 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. Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models. 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 You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion. You are excited to learn new technologies and stay on the cutting edge of what’s possible You’ve taken a product or platform from 0 to 1, you know what it takes to launch something novel

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