Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value from their applications, data platforms, and AI systems.
Skyflow is trusted by Fortune 500 enterprises, and leading SaaS companies in financial services, healthcare, retail, travel and hospitality.
Skyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com or follow on X and LinkedIn.
About The Role
We’re looking for a Senior Machine Learning Engineer to build, deploy, and scale ML models that directly impact product and business outcomes. You’ll work closely with product, backend, and data teams to turn real-world problems into production-ready ML solutions.This is a hands-on role where experimentation, ownership, and shipping matter more than academic perfection.
The ideal candidate has hands-on experience building end-to-end ML systems, deploying models to production, creating AI workflows,
and improving the reliability, observability, and performance of AI-powered products.
We know excellent software engineers come from diverse backgrounds so no single individual may have all the desired skills on day one. But if you are the kind of software engineer who would have loved to engineer solutions for Stripe or Twilio APIs, or the Slack or Zendesk app, or the Snowflake or MongoDB platform - we want to talk to you.
You Have
8+ years of experience in Machine Learning.
Proficient in one of the programming languages either Go or Python
Design, develop, and deploy production ML models and AI services.
Build end-to-end ML pipelines for data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
Having experience in implementing AI-driven software systems with a focus on NLP, NER.
Hands-on experience with Python and ML libraries (NumPy, Pandas, Scikit-learn).
Experience wit
📌 Senior Machine Learning Engineer (India)
🏢 Skyflow
📍 India