Augury
Industrial AI
SeniorMLEngineer
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“Senior ML Engineer at Augury. Skills: Machine Learning, Agentic AI, Industrial AI, Generative AI. Own the full machine learning lifecycle. Scope problems”
What You'll Achieve.
Achieve payback in six months or less; Drive new levels of efficiency; Proactively address alerts; Minimize downtime; Reduce asset costs; Maximize yield and capacity; Transform operations; Understand operations; Optimize operations; Power next-generation industrial AI applications; Deliver measurable operational impact
Industry & Context.
Actionable intelligence
What They're Looking For.
Must Have
4+ years of experience in Machine Learning, Proven ability to own and deliver end-to-end ML systems, Experience in time-series modeling, Experience in forecasting, Experience in anomaly detection, Experience in feature engineering, Hands-on experience with Python, Hands-on experience with ML frameworks, Experience building Agentic applications, Experience working with LLM-powered systems, Understanding of data pipelines, Understanding of production ML systems, Experience working in Agile environments, Experience working in fast-paced environments, Experience working in cross-functional environments, Collaboration skills with distributed teams
Nice to Have
Master's degree (M. Tech or equivalent) is a plus, Equivalent industry experience will be considered, Experience in industrial AI, Experience in IoT, Experience in predictive maintenance, Experience in manufacturing systems, Exposure to digital twins, Exposure to context graphs, Exposure to knowledge graph-based systems, Familiarity with modern data platforms, Understanding of optimization frameworks, Experience working with large-scale distributed data systems
What You'll Do.
Own the full machine learning lifecycle
Monitor models in production
Design Agentic AI systems
Build Agentic AI systems
Develop ML models for forecasting
Develop ML models for anomaly detection
Develop ML models for pattern recognition
Integrate classical statistical methods
Integrate deep learning
Integrate GenAI techniques
Generate actionable insights
Build scalable data pipelines
Operate systems reliably
Collaborate with Product teams
Collaborate with Engineering teams
Collaborate with Algorithm teams
Translate customer needs
Identify data-driven opportunities
Identify emerging use cases
Implement evaluation systems
Implement monitoring systems
Implement drift detection systems
How You'll Work.
Team & Collaboration
Central Algorithm teams; Product teams; Engineering teams; Distributed teams
Process & Methodology
Agile, Fast-paced, Cross-functional
Full Job Description
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. Augury is building AgenticAI systems that transform how industrial organizations understand and optimize their operations. As a Senior ML Engineer on this team, you will help turn that vision into reality. You will be part of the AgenticAI team, you will work closely with central Algorithm and Product teams to design, build, and deploy intelligent systems that power next-generation industrial AI applications. You will own the end-to-end lifecycle of machine learning solutions—from problem definition and data exploration to model development, deployment, and production monitoring. Your work will span classical machine learning, time-series modeling, and generative AI to build agent-based systems that turn complex industrial data into actionable intelligence. You will architect and implement Agentic applications that leverage heterogeneous data sources, including sensor-based time-series signals, unstructured text, and existing ML frameworks. These systems will directly power customer-facing workflows, delivering measurable operational impact for industrial manufacturers. This role sits at the intersection of Agentic AI and Industrial AI, where your work will directly shape how customers interact with Augury’s platform and realize value from their data. A Day In Your Life Own the full machine learning lifecycle: problem scoping,
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