Company Overview: We are a dynamic fintech startup revolutionizing the investment management, asset management, and wealth management ecosystem with our innovative LLM-powered SaaS solutions. Our mission is to empower financial institutions and investors with intelligent tools and insights to drive better decision-making and enhance performance.
Position Overview: We are seeking an experienced and hands-on leader to join us as the Head of Machine Learning. In this critical role, you will lead our machine learning initiatives, driving the development of high-performance enterprise solutions that leverage LLMs and RAG architectures. You will play a pivotal role in shaping our technical strategy, building and leading a world-class machine learning team, and driving innovation to solve complex challenges in the fintech space.
Responsibilities:

• Lead the development and execution of our machine learning roadmap, aligning with business objectives and customer needs.
• Build and mentor a high-performing machine learning team, fostering a culture of collaboration, innovation, and continuous learning.
• Drive the design, development, and optimization of LLM-powered SaaS solutions, ensuring scalability, reliability, and performance.
• Collaborate closely with cross-functional teams, including product management, engineering, and data science, to translate business requirements into technical solutions.
• Stay abreast of the latest advancements in machine learning, NLP, and related fields, and evaluate emerging technologies for potential integration into our platform.
• Provide technical leadership and guidance, ensuring best practices, coding standards, and quality assurance processes are followed.
• Drive the adoption of fine-tuning and instruction fine-tuning techniques to optimize model performance and adaptability to specific domains.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline. (M.S. or Ph.D. preferred)
• 8 years of experience in machine learning, with at least 3 years in a hands-on leadership role.
• Proven track record of building and leading high-performing machine learning teams, delivering successful enterprise solutions from concept to production.
• Extensive experience with LLMs, RAG architectures, and other advanced machine learning techniques, with a focus on natural language processing (NLP).
• Strong background in fine-tuning and instruction fine-tuning, with a deep understanding of model optimization techniques.
• Experience working in the fintech industry or related domains is highly desirable.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Strong problem-solving abilities and strategic thinking, with a passion for driving innovation and delivering impactful results.

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