Machine Learning Engineer
Augury - Bangalore, India
Posted Jun 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
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- Weekend work
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Company
Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Machine Learning Engineer Bangalore, India 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
Read the full description at www.augury.com. FewerJobs shows a preview and links to the original posting.
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