GenAI and LLM Technical Lead

Join the Mizuho team as the GenAI and LLM Technical Lead!

Mizuho AI Center Of Acceleration team is seeking a highly skilled and motivated Generative AI (GenAI) and Large Language Model (LLM) Technical Lead to join our dynamic team. As a Technical Lead, you will play a pivotal role in driving the development, implementation, and optimization of cutting-edge AI solutions leveraging generative models and LLMs. You will lead a team of engineers and collaborate with cross-functional stakeholders to deliver innovative AI-driven products and services that address complex business challenges. This role requires a unique blend of hands-on technical expertise and leadership skills to drive innovation and deliver high-impact solutions, with a particular focus on Generative AI (GenAI) and Large Language Models (LLMs).

Responsibilities

Technical Leadership:

• Lead the design, development, and deployment of business solutions using GenAI and LLMs.
• Lead multiple execution teams, providing guidance, mentorship, and technical direction.
• Foster a collaborative and innovative team environment, promoting knowledge sharing and continuous learning.
• Set clear goals and expectations for team members, conducting regular performance reviews and providing constructive feedback.
• Ensure adherence to best practices in data science, machine learning, and software development.
• Champion the adoption of new tools, technologies, and methodologies to enhance team productivity and project outcomes, with an emphasis on GenAI and LLMs.

Project Management

• Oversee the integration of GenAI and LLM solutions into production systems, ensuring robustness, scalability, and maintainability.
• Collaborate with product managers, engineers, and other stakeholders to prioritize and plan data science initiatives.
• Manage end-to-end data science projects, from ideation to deployment and monitoring, ensuring alignment with business objectives.
• Develop comprehensive project plans, including scope, timelines, resource allocation, and risk management.
• Track project progress, identifying and addressing any issues or roadblocks to ensure timely and successful delivery.

Technical Execution

• Develop and deploy GenAI and LLM solutions to address specific business needs, leveraging state-of-the-art frameworks and techniques.
• Monitor and evaluate model performance in production, making necessary adjustments and improvements.
• Implement rigorous validation and testing procedures to ensure the quality and reliability of models.
• Design, implement, and optimize machine learning algorithms and statistical models, ensuring high accuracy, reliability, and performance.
• Conduct thorough data exploration and analysis to understand data patterns, identify trends, and generate actionable insights.
• Utilize advanced analytical techniques, including supervised and unsupervised learning, natural language processing, and time series analysis.
• Develop and maintain scalable data pipelines, ensuring efficient data processing and storage.

Innovation And Strategy

• Stay current with the latest advancements in data science, machine learning, GenAI, and LLM technologies, applying relevant innovations to projects.
• Identify opportunities to leverage new tools, techniques, and data sources to enhance our data science capabilities.
• Contribute to the strategic direction of the data science team, aligning with the overall goals of the organization.
• Participate in industry conferences, workshops, and professional networks to stay connected with the data science and GenAI community.

Collaboration And Communication

• Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
• Work closely with other departments, including IT, business units, and external partners, to ensure alignment and integration of data science initiatives.
• Prepare and present technical reports, research papers, and presentations to senior management and other stakeholders.
• Facilitate cross-functional collaboration to drive data-driven decision-making and promote the value of data science within the organization.

Required Experience

• Minimum of 7 years of experience in AI/ML development.
• Minimum of 18 months experience in designing and implementing GenAI and LLM solutions, with at least 2 years in a leadership or technical lead role.
• Proven experience in leading and managing data science projects and teams.

Required Skills

• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong leadership and team management abilities.
• Effective communication and interpersonal skills.
• Proficiency in programming languages such as Python and Java.
• In-depth knowledge of GenAI techniques and LLM architecture (e.g., GPT, BERT, T5).
• Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), containerization technologies (e.g., Docker, Kubernetes), and serverless technologies.
• Experience with version control systems (e.g., Git) and collaborative development workflows.

Qualifications

• Advanced degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

The expected base salary ranges from $160k-$200k. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.

Other Requirements

Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.