MLOps Engineer

📋 Description

• • Fundamental is at the forefront of revolutionizing enterprise decision-making through advanced AI. We are a dynamic company founded by esteemed alumni from DeepMind, dedicated to building the future of artificial intelligence for businesses. Our flagship product, NEXUS, is the world's most powerful Large Tabular Model (LTM), meticulously engineered to process and leverage the structured data that forms the backbone of enterprise operations. Backed by a consortium of leading investors and trusted by Fortune 100 companies, Fundamental empowers businesses with the "Power to Predict," unlocking trillions of dollars in value by transforming how critical decisions are made.
• • As an MLOps Engineer at Fundamental, you will play a pivotal role in shaping and scaling our cutting-edge AI infrastructure. You will be instrumental in developing and managing robust, automated machine learning pipelines that are essential for the efficient training, deployment, and monitoring of our sophisticated models. This includes architecting and implementing Continuous Integration and Continuous Deployment (CI/CD) workflows, ensuring that our models move from development to production seamlessly and reliably. You will also be responsible for designing and implementing scalable model serving infrastructure, leveraging state-of-the-art platforms such as TorchServe, TensorFlow Serving, and Triton. The goal is to ensure our models can be served with ultra-low latency and high throughput, meeting the demanding performance requirements of enterprise applications.
• • Your responsibilities will extend to developing sophisticated inference architectures that are optimized for performance and scalability. A key aspect of this role involves ensuring seamless model deployment through the implementation of advanced strategies like A/B testing, canary releases, and robust rollback capabilities. This meticulous approach guarantees that new model versions are introduced with minimal risk and maximum confidence. Furthermore, you will be tasked with developing comprehensive logging, alerting, and monitoring solutions. These systems will be critical for tracking model performance, identifying potential issues, and ensuring the overall reliability and stability of our deployed models. Proactive monitoring and rapid response are paramount in this fast-paced environment.
• • Efficiency and resource optimization are core tenets of our operational philosophy. You will actively work on improving GPU utilization, enabling autoscaling capabilities for our compute resources, and streamlining overall resource allocation to maximize efficiency and minimize costs. This involves a deep understanding of cloud infrastructure and containerization technologies. Designing, implementing, and maintaining feature stores is another crucial area of focus. This includes building robust data pipelines and scalable storage solutions that can efficiently handle the massive volumes of data required for both model training and inference. Ensuring data quality, accessibility, and timely delivery is fundamental to the success of our AI systems.
• • You will collaborate closely with our world-class research and engineering teams, translating groundbreaking research into production-ready AI solutions. This role offers an unparalleled opportunity to work on unprecedented technical challenges in foundation model development and to build technology that fundamentally transforms how the world's largest companies make decisions. This is your chance to be an integral part of a category-defining company from its foundational stages, contributing directly to the definition and future of enterprise AI. You will be empowered to take ownership, drive innovation, and make a significant impact on our products and our clients' success.
• • The ideal candidate possesses a strong software engineering background, with a keen eye for automation, scalability, and reliability. You are comfortable navigating complex cloud environments and are adept at using infrastructure-as-code principles to manage and provision resources. Your ability to write clean, maintainable, and scalable code in languages like Python, Bash, and Go will be essential. Experience with AI/ML systems security, compliance, and model governance is highly valued, as we operate in a highly regulated industry. Proficiency with observability and monitoring tools is also a key requirement, enabling us to maintain the health and performance of our systems. This role is perfect for an individual who thrives in a challenging, collaborative, and fast-paced environment, and who is passionate about pushing the boundaries of what's possible with AI.