ML Engineer

Founded in 2021, Revefi builds a category-defining data observability solution using advanced AI/ML algorithms to solve data reliability and quality problems.
Machine Learning
Senior Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS

Description For ML Engineer

Revefi, founded in 2021 by ThoughtSpot co-founders Sanjay Agrawal and Shashank Gupta, is revolutionizing data observability with their AI-powered solution. Recently securing $20 million in Series A funding led by Icon Ventures, the company is at the forefront of solving data reliability and quality challenges.

The ML Engineer role presents a unique zero-to-one opportunity to shape the future of data management. You'll be responsible for the complete ML stack, working on cutting-edge solutions like Raden - the world's first AI Data Engineer. This platform uses GenAI to help enterprise data teams modernize data platforms, optimize cloud infrastructure, and maintain data quality.

As an ML Engineer, you'll be integral in developing and implementing machine learning models focused on anomaly detection and time series forecasting. The role requires strong expertise in ML algorithms, programming, and data analysis, with the opportunity to work on innovative solutions that help data teams move beyond firefighting to solving complex problems efficiently.

The position offers the chance to work with advanced technologies and frameworks while contributing to a product that's setting new standards in Data Management, DataOps, and FinOps. You'll be joining a well-funded startup with strong backing from prestigious investors, working on problems that directly impact how enterprises manage and trust their data.

This role is perfect for someone who wants to be at the forefront of AI/ML innovation in the data management space, combining technical expertise with practical business applications. You'll have the opportunity to shape the direction of key ML components while working with a team that's building the future of data observability.

Last updated 11 days ago

Responsibilities For ML Engineer

  • Develop and implement machine learning models for 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 For ML Engineer

Python
  • 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
  • Strong programming skills in Python, Java, or R
  • Experience with TensorFlow, PyTorch, and Scikit-learn
  • Familiarity with data analysis and visualization tools
  • Excellent problem-solving and analytical skills
  • Good communication and collaboration skills

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