ML Engineer (BLR)
Bangalore
Product Development /
Machine Learning Engineering /
Hybrid
About Revefi
Founded in 2021 by Sanjay Agrawal and Shashank Gupta, the visionary co-founders of ThoughtSpot ($4.2B+ valuation), Revefi is building an AI Agent for Data Spend Optimization, unifying observability across data quality, usage, spend, and performance — a category-defining platform for modern data teams. Backed by $20M in Series A funding from Icon Ventures, Mayfield Fund, GTM Capital, and StepStone Group, we’re on a mission to build the future of Data Spend Optimization and Cloud Data Operations.
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.
Join Revefi's team and lay the foundation for our data observability solution. Shape the future of the product and deliver a seamless customer/user experience.
