As a Lead AI LLM Engineer, you'll spearhead innovative projects in AI and machine learning. This role is perfect for someone with a strong background in speech technology and cloud platforms, particularly Azure.
In the role of Lead AI LLM Engineer, you will be at the forefront of developing advanced AI solutions, particularly in the realm of large language models (LLMs) and speech technology. Your main responsibilities will include designing and evaluating LLMs, creating speech pipelines, and leading the development of multi-agent systems. This position requires a deep understanding of Azure services, as you will be implementing serverless architectures and utilizing Kubernetes for deployment and management of applications.
You will work closely with a team of engineers and data scientists, guiding them in the design of prompts and agents that enhance the functionality of AI systems. Your leadership will be crucial in ensuring that projects are delivered on time and meet the high standards expected in the industry. You should be comfortable with both technical challenges and team management, as you will be mentoring junior engineers and collaborating with cross-functional teams.
The ideal candidate for this position has at least five years of experience in machine learning and AI, with a strong focus on speech technology and cloud computing. You should be proficient in designing and evaluating LLMs and have a solid grasp of Azure services. Familiarity with serverless architectures and Kubernetes will be beneficial, as will experience with SQL databases.
This role is suited for someone who thrives in a fast-paced environment and is passionate about pushing the boundaries of AI technology. If you are looking to lead innovative projects and make a significant impact in the field of AI, this could be the perfect opportunity for you.
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