Senior Machine Learning Engineer (RAG/LLM)

Location

Boulder, CO | United States

Job description

Our client are a dynamic FinTech start-up revolutionizing the way financial services are delivered through innovative conversational AI solutions. Their mission is to enhance customer experience, streamline operations, and drive growth for financial institutions worldwide. They are seeking a highly skilled Senior Machine Learning Engineer to 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 cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions.

Key Responsibilities:

• 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 GPT (Generative Pre-trained Transformer) for specific use cases in the FinTech 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.

Qualifications:

• Bachelor’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.
• Proven 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, Azure, GCP) 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.

Salary: $150k – 190k

42438

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