ML Engineer

Founded in 2021 by ThoughtSpot (valued at $4.2B) co-founders Sanjay Agrawal and Shashank Gupta, Revefi is building a category-defining, world-class data observability solution to solve data reliability and quality problems enabling its users to have full trust in their data. The cloud-based and enterprise-focused solution uses advanced AI/ML algorithms and analytics to deliver unrivaled innovation to a nascent technology arena. Revefi has recently secured $20 million in Series A financing, led byIcon Ventures, with participation fromMayfield Fund,GTM Capital, andStepStone Group.

https://techcrunch.com/2024/09/04/revefi-seeks-to-automate-companies-data-operations/

Revefi announced Raden -The World’s First AI Data Engineer 

https://siliconangle.com/2024/09/04/revefi-raises-20m-launch-worlds-first-ai-data-engineer/

Raden augments data teams with “distinguished engineer level” expertise in data architecture, system performance, optimization, and cost management.

Enterprise data teams continue to face challenges with modernizing data platforms, optimizing cloud infrastructure, managing real-time data, maintaining data quality and controlling data spend. Raden uses GenAI and AI to address these challenges by working with your team as an AutoPilot and/or CoPilot, ensuring high-quality data, improved operational performance, and efficient spend management. With innovations such as Raden, Revefi is setting a new standard in Data Management, Data Engineering, DataOps, Data Quality and FinOps. Data teams can now move beyond firefighting mode, solve complex problems, and deliver the right data at the right time.

The Role

This is a unique, zero to one opportunity. You will be responsible for the full ML stack for the product.

Responsibilities

• Develop and implement machine learning models that can improve business processes and outcomes, including those related to anomaly detection and time series forecasting.
• Participate in the design, development, testing, and deployment of machine learning algorithms and models.
• Responsible for the full development and production ML stack.

Requirements

• Bachelor's degree in computer science, data science or a related field.
• 5+ years of experience in implementing, deploying and maintaining ML models.
• Strong hands on experience in machine learning algorithms and techniques, such as regression, classification, clustering, deep learning, anomaly detection, and time series forecasting.
• Strong programming skills in languages such as Python, Java, or R, with experience in libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with data analysis and visualization tools, such as Pandas, NumPy, and Matplotlib, with experience in time series analysis and visualization.
• Excellent problem-solving and analytical skills, as well as attention to detail.
• Good communication and collaboration skills, and the ability to work in a team environment.