Series A, Data/ML Startup: MLops Engineer

April 7

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Description

• Develop and maintain cloud infrastructure for the leader alongside MIT PhDs, who are veterans of the top tech companies in the world. • Pioneer scalable MLOps practices to support the deployment and monitoring of models for customers like Amazon & Google. The platform has several tools that automatically find & fix issues in datasets. • Use the latest tooling to optimize data workflows, enhancing the efficiency of model training and deployment processes. • Ensure the security and reliability of the infrastructure supporting MLops. • Collaborate with top data scientists to integrate machine learning models into production environments.

Requirements

• A Bachelor's or Master's degree in Computer Science, Engineering, or related field from a highly recognized university. • 5+ years of experience in MLOps, supporting data science and ML teams across the full lifecycle in a fast-paced, product-focused environment at a mix of startups and top tech enterprises. • Strong skills in Python, PyTorch/PyTorch Lightning, Hugging Face, relational databases, AWS, Docker, Git, CI/Testing (e.g., Jenkins). • Previous early-stage employee or founder experience at a venture-backed tech company is strongly preferred. • Desire and ability to learn quickly, take professional initiative, and work in a fast-paced environment.

Benefits

• Competitive Salary with significant equity in an early stage pioneer of DCAI backed by top investors. • Comprehensive benefits include premium health insurance, Unlimited PTO, Unlimited Sick Days, Parental leave, and more. • Unique travel allowance. • Unprecedented career progression opportunities. • The opportunity to work with brilliant founders, solving some of the most complex data problems in the world.