AU
Full time
🤖 AI / ML
Machine Learning Engineer at Augury
Listed by DevShelfHub
Bengaluru, India
Hybrid
Mid-level · 4–8 yrs
About the Role
Augury is a leader in Machine Health and Process Health solutions using purpose-built AI for industrial production. Augury is hiring a Machine Learning Engineer in Bengaluru for its AgenticAI team building next-generation industrial AI applications.
What you'll do
- Own full ML lifecycle: scoping, exploration, pipelines, training, deployment, monitoring
- Design Agentic AI combining time-series, signal processing, and GenAI (LLMs, embeddings)
- Develop ML models for forecasting, anomaly detection, and industrial insights
- Architect agent applications leveraging sensor time-series and unstructured text
- Collaborate with central Algorithm and Product teams
What we're looking for
- 4+ years in Machine Learning, Applied AI, or related fields
- Proven end-to-end ML systems delivery in production
- Strong Python and ML framework proficiency
- Time-series modeling and signal processing experience
Skills & Technologies
Required
4+ years in Machine Learning, Applied AI, or related fields
Proven end-to-end ML systems delivery in production
Strong Python and ML framework proficiency
Time-series modeling and signal processing experience
Generative AI: LLMs, embeddings, orchestration frameworks
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build Agentic AI systems for industrial organizations
- Own end-to-end ML lifecycle from problem scoping to production monitoring
- Combine time-series modeling, signal processing, and generative AI
- Architect agent applications with heterogeneous data sources
- Work at intersection of Agentic AI and Industrial AI
- Partner with Algorithm and Product teams
- Direct customer-facing operational impact for manufacturers
🚀 Boost your chances
Skip the queue
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 4–8 years
- Location
- Bengaluru, India
- Work Mode
- Hybrid
- Category
- AI / ML
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